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BSc in Deep Learning and Artificial Intelligence AI-Focused BSc Program

B.Sc. (Artificial Intelligence) -
Honours/ Honours with Research

Apply Now

Overview

Focus Area and Value Delivered by B.Sc. (Artificial Intelligence) - Honours/ Honours with Research programme

The B.Sc. (Artificial Intelligence) - Honours/ Honours with Research program at Symbiosis Artificial Intelligence Institute (SAII साई) offers a strong foundation in AI, machine learning, and deep learning, combined with hands-on experience using tools like Python, TensorFlow, and PyTorch. The curriculum emphasizes application-oriented learning across key domains such as Health Sciences, Agriculture, Cybersecurity, Data Science, and Sports Sciences, allowing students to solve real-world problems using AI. A dedicated focus on ethical and responsible AI ensures students understand the societal impact of intelligent systems.

Graduates emerge as job-ready professionals equipped for roles like AI Developer, Data Analyst, or Data Scientist across diverse industries. The program fosters interdisciplinary thinking, innovation, and lifelong learning, preparing students for advanced studies or global careers in the AI ecosystem. Through industry-led projects, research exposure, and mentoring, students are empowered to create impactful, human-centred AI solutions.

3-Year B.Sc. (Artificial Intelligence) + 1-Year Honours/ Honours with Research

The B.Sc. (Artificial Intelligence) - Honours/ Honours with Research program at SAII is fully aligned with the National Education Policy (NEP) 2020, offering students flexible academic progression and multiple exit options. Learners can earn a Certificate, Diploma, or a full B.Sc. degree, with the choice to graduate after the 3rd year or continue into the 4th year for an Honours or Honours with Research degree. This structured flexibility ensures students can pursue their academic and career goals at their own pace, while building strong foundational and advanced skills in AI.

Year Credits Earned Award / Qualification Additional Requirement
Year 1
(End of Sem 2)		 43 Credits Certificate in Artificial Intelligence Completion of 4-credit vocational course during summer term
Year 2
(End of Sem 4)		 92 Credits Diploma in Artificial Intelligence Completion of 4-credit vocational course during summer term
Year 3
(End of Sem 6)		 128 Credits Bachelor of Science (Artificial Intelligence) -
Year 4
(End of Sem 8)		 166 Credits B.Sc. (Artificial Intelligence) - Honours/ Honours with Research Based on chosen track: Capstone Project (Honours) or Research Project (Honours with Research)
BSc with Specialization in Artificial Intelligence
Study Artificial Intelligence – BSc Program

Major & Minor Specialization Pathways in B.Sc. (Artificial Intelligence) - Honours/ Honours with Research:

(Required to Choose Major/Minor Specialization From)

Sr. No. Specialization Focus Area Value Delivered
1. Health Sciences Utilizing AI for diagnostics, patient monitoring, and healthcare decision support systems. Equips graduates to contribute to AI-enabled healthcare solutions & medical innovation.
2. Sports Sciences Leveraging AI to enhance athletic performance, injury prediction, and sports analytics. Develops professionals who can apply AI in coaching, fitness technology, and sports management.
3. Agriculture Integrating AI for precision farming, crop monitoring, and sustainable agricultural practices. Trains students in agri-tech innovation, supporting food security and environmental sustainability.
4. Data Science Harnessing AI for data interpretation, visualization, & predictive modeling across sectors. Builds core competencies in data-driven decision-making & AI analytics for diverse domains.
5. Cybersecurity Securing AI systems and data through advanced cyber defense techniques Equips graduates to design secure AI applications and mitigate emerging cyber threats.
* Subject to registration of minimum 15 students per specialization.

Students can choose any one minor from the following specialisations

Sr. No. Specialization Focus Area Value Delivered
1. Financial Technologies Applying AI in financial services, including fraud detection, robo-advisory, and algorithmic trading. Equips students to work in fintech roles, banking innovation, and AI-powered investment platforms.
2. Marketing Technologies Using AI to personalize marketing strategies, optimize campaigns, and analyze consumer behavior. Prepares graduates for careers in digital marketing, market research, and customer intelligence.
3. Technologies for Global Supply Chain Leveraging AI for process automation, supply chain analytics, and operational efficiency. Trains professionals in AI-enabled logistics, service delivery, and operational systems.
4. Human Resource Technologies Utilizing AI for talent analytics, recruitment automation, and employee engagement tools. Builds capabilities for HR tech leadership roles focusing on workforce intelligence and people analytics.
5. Media and Creative Industries Applying AI in digital content creation, design, animation, and audience engagement. Prepares students for roles in creative media, advertising, digital entertainment, and UX design.
* Subject to registration of minimum 15 students per specialization.

Programme Structure

Objective:

To develop skilled professionals with a strong foundation in artificial intelligence, computational thinking, and data-driven problem solving. The program aims to foster interdisciplinary application of AI in domains such as healthcare, agriculture, sports, and cybersecurity. It encourages creativity, ethical reasoning, and research aptitude to address real-world challenges through innovative and inclusive AI solutions.

Program Outcomes:

PO1: To Demonstrate an understanding of core principles and theories in computer science and artificial intelligence.

PO2: To apply practical skills in AI tools, algorithms, and data-driven techniques for intelligent decision-making.

PO3: To design and deploy intelligent systems by integrating AI methodologies to solve complex, multidisciplinary real-world problems.

PO4: To demonstrate strong critical, analytical thinking and communication skills while also addressing ethical challenges for AI based solutions

PO5: Demonstrate the ability for independent, continuous learning to adapt emerging technologies in the field of artificial intelligence and related domains.

Program Specific Outcomes:

PSO1: To design and implement AI/ML-based solutions to multidisciplinary problems through effective analysis and practical application of intelligent systems.

PSO2: To establish a strong foundation in core and advanced areas of Artificial Intelligence and Machine Learning, and enable students to gain expertise in specialized domains such as Sport Sciences, Data Science, Healthcare and Cyber security.

PSO3: To build strong foundations in core and advanced area of Artificial Intelligence and Machine Learning, and gain expertise in specialized domains such as Sport Sciences, Data Science, Healthcare, Agriculture and Cyber security.

Duration (In Months)

48 (Full Time) With Multiple Entry and Multiple Exit Option

Intake

60

Selection Procedure

Personal Interaction (PI)

Medium of Instruction

English

Programme Pattern

Semester

Assessment

The courses will have 60% Continuous Assessment and 40% Term End [University] examination however, some courses (not more than 30% of the total programme credits) may have 100% Continuous Assessment.

Standard of Passing:

The assessment of the student for each examination is done based on relative performance. Maximum Grade Point (GP) is 10 corresponding to O (outstanding). For all courses, a student is required to pass both Continuous Assessment and Term End examinations separately with a minimum Grade Point of 4 corresponding to Grade P. Students securing less than 40% marks in any head of passing will be declared FAIL. The University awards a Certificate/Diploma/ Degree to the student who has achieved a minimum CGPA of 4 out of a maximum of 10 CGPA for the Programme.

Courses and Specializations

Semester I

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: I
Discipline-Specific Course/s / Major Course/s
T3851 0304210101 Foundational Mathematics for AI 4 0 4 0 0 60 40 100
T3852 0304210102 Introduction to AI 2 0 2 0 0 30 20 50
T3846 0304210103 Database Management System with SQL 3 2 4 15 10 45 30 100
T3849 0304210104 Data Preprocessing and Exploratory Data Analysis 0 4 2 30 20 0 0 50
Total 12 45 30 135 90 300
Ability Enhancement Course/s
TM2314 0304210105 Business Communication 3 0 3 0 0 45 30 75
Total 3 0 0 45 30 75
Skill Enhancement Course/s
T3856 0304210106 Python Programming 1 4 3 50 0 25 0 75
Total 3 50 0 25 0 75
Common Value-Added Course/s
THM6144 0304210107 Indian Knowledge Systems 2 0 2 0 0 50 0 50
Total 2 0 0 50 0 50
Grand Total 20 95 30 255 120 500

Semester II

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: II
Discipline-Specific Course/s / Major Course/s
T3845 0304210201 Data Structures and Algorithms   3 2 4 15 10 45 30 100
T3855 0304210202 Machine Learning and Deep Learning   3 2 4 15 10 45 30 100
TEE7089 0304210203 Basics of Operating Systems   2 0 2 0 0 30 20 50
T3858 0304210204 Statistics for Data Science   2 0 2 0 0 30 20 50
Total 12 30 20 150 100 300
Ability Enhancement Course/s
T6755 0304210205 English (Communication Skills)   3 0 3 0 0 75 0 75
Total 3 0 0 75 0 75
Skill Enhancement Course/s
T3848 0304210206 Data Analytics using MS-Excel   1 4 3 30 20 25 0 75
Total 3 30 20 25 0 75
Common Value-Added Course/s
THM6208 0304210207 Creative and Critical Thinking   2 0 2 0 0 50 0 50
Total 2 0 0 50 0 50
Mandatory Non-Credit Course/s
TH4788   Health and Wellness Module I   0 0 0 0 0 0 0 0
Total 0 0 0 0 0 0
Multi-disciplinary Course/s
(Choose Any One Course from the University Basket of Multidisciplinary Courses)
The list of Multidisciplinary courses offered will be updated every semester. The list will be shared on the MDC Registration Portal before the commencement of each semester, and students may choose a course of their choice.

You can download the list on eduwiz portal.
- - MD1   0 0 3 0 0 75 0 75
Total 3 0 0 75 0 75
Vocational Course/s
(Only for students who wish to exit after the First Year with a Certificate)
T3847 0304210208 Applied Natural Language Processing   4 0 4 0 0 100 0 100
Grand Total 23 60 40 375 100 575
Note: Students exiting at the end of the second semester and earning 43 credits will be awarded a ''Certificate in Artificial Intelligence,'' provided they successfully complete the additional 4 credits of vocational course offered during the summer term.

Semester III

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: III
Discipline-Specific Course/s / Major Course/s
P5483 0304210301 Natural Language Processing   3 0 3 0 0 45 30 75
Total 3 0 0 45 30 75
Major Course/s (Choose any one Group)
Group 1 (Health Sciences)
P5529 0304210302 Biological foundations and Applications of Artificial Intelligence (AI) in Healthcare Health Sciences 4 0 4 0 0 60 40 100
P5530 0304210303 AI in Medical Imaging Analysis Health Sciences 3 2 4 15 10 45 30 100
P5531 0304210304 AI in Rehabilitation Sciences Health Sciences 1 0 1 0 0 25 0 25
Group 2 (Sports Sciences)
P5532 0304210305 Data Analytics for Sports Sports Sciences 3 2 4 15 10 45 30 100
P5533 0304210306 Sports Biomechanics Sports Sciences 4 0 4 0 0 60 40 100
P5534 0304210307 Anatomy and Physiology Sports Sciences 1 0 1 0 0 25 0 25
Group 3 (Agriculture)
P5535 0304210308 Introduction to Agriculture and Finance Agriculture 3 2 4 15 10 45 30 100
P5536 0304210309 AI and Precision Agriculture Agriculture 4 0 4 0 0 60 40 100
P5537 0304210310 Agri Supply Chain Management Agriculture 1 0 1 0 0 25 0 25
Group 4 (Data Science)
P5539 0304210311 Open Source Tools for Data Science Data Science 4 0 4 0 0 60 40 100
TMC5024 0304210312 Data Visualization -1 Data Science 1 0 1 0 0 25 0 25
P5544 0304210313 Business Analytics Data Science 3 2 4 15 10 45 30 100
Group 5 (Cyber Security)
P5540 0304210314 Cryptography Cyber Security 3 2 4 15 10 45 30 100
P5538 0304210315 Introduction to Cybersecurity Cyber Security 4 0 4 0 0 60 40 100
P5545 0304210316 Network Security Cyber Security 1 0 1 0 0 25 0 25
Total Required Credits 9 15 10 130 70 225
Minor Course/s (Choose any one group other than the chosen Major)
Group 1 (Health Sciences)
P5529 0304210302 Biological foundations and Applications of Artificial Intelligence (AI) in Healthcare Health Sciences 4 0 4 0 0 60 40 100
P5530 0304210303 AI in Medical Imaging Analysis Health Sciences 3 2 4 15 10 45 30 100
Group 2 (Sports Sciences)
P5532 0304210305 Data Analytics for Sports Sports Sciences 3 2 4 15 10 45 30 100
P5533 0304210306 Sports Biomechanics Sports Sciences 4 0 4 0 0 60 40 100
Group 3 (Agriculture)
P5535 0304210308 Introduction to Agriculture and Finance Agriculture 3 2 4 15 10 45 30 100
P5536 0304210309 AI and Precision Agriculture Agriculture 4 0 4 0 0 60 40 100
Group 4 (Data Science)
P5539 0304210311 Open Source Tools for Data Science Data Science 4 0 4 0 0 60 40 100
P5544 0304210313 Business Analytics Data Science 3 2 4 15 10 45 30 100
Group 5 (Cyber Security)
P5540 0304210314 Cryptography Cyber Security 3 2 4 15 10 45 30 100
P5538 0304210315 Introduction to Cybersecurity Cyber Security 4 0 4 0 0 60 40 100
Total Required Credits 8 15 10 105 70 200
Common Value-Added Course/s
P5542 0304210317 Introduction to Environment and Sustainability   2 0 2 0 0 50 0 50
Total 2 0 0 50 0 50
Mandatory Non-Credit Course/s
TH4789   Health and Wellness Module II   0 0 0 0 0 0 0 0
Total 0 0 0 0 0 0
Grand Total 22 30 20 330 170 550

Semester IV

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: IV
Major Course/s (Choose any one Group)
Group 1 (Health Sciences)
P5543 0304210401 AI for Disease Diagnosis and Clinical Decision Support System Health Sciences 3 2 4 15 10 45 30 100
P5546 0304210402 AI for Drug Discovery and Clinical Trials Health Sciences 3 0 3 0 0 45 30 75
Group 2 (Sports Sciences)
P5547 0304210403 Performance Analysis Using AI Sports Sciences 3 2 4 15 10 45 30 100
P5548 0304210404 Fan Engagement and Smart Venues Sports Sciences 3 0 3 0 0 45 30 75
Group 3 (Agriculture)
P5549 0304210405 Image Analytics for Agriculture Agriculture 3 2 4 15 10 45 30 100
P5550 0304210406 IoT for Smart Irrigation Systems Agriculture 3 0 3 0 0 45 30 75
Group 4 (Data Science)
P5551 0304210407 Time Series Analysis and Forecasting Data Science 3 2 4 15 10 45 30 100
P5552 0304210408 Big Data: Storage and Analytics Data Science 3 0 3 0 0 45 30 75
Group 5 (Cyber Security)
P5553 0304210409 Ethical Hacking Cyber Security 3 2 4 15 10 45 30 100
P5555 0304210410 AI for Cyber Security Cyber Security 3 0 3 0 0 45 30 75
Total Required Credits 7 15 10 90 60 175
Discipline-Specific Course/s / Minor Course/s
T8000 0304210411 Service Learning   0 4 2 50 0 0 0 50
Total 2 50 0 0 0 50
Minor Course/s (Choose any one group other than the chosen Major)
Group 1 (Health Sciences)
P5543 0304210401 AI for Disease Diagnosis and Clinical Decision Support System Health Sciences 3 2 4 15 10 45 30 100
P5546 0304210402 AI for Drug Discovery and Clinical Trials Health Sciences 3 0 3 0 0 45 30 100
Group 2 (Sports Sciences)
P5547 0304210403 Performance Analysis Using AI Sports Sciences 3 2 4 15 10 45 30 100
P5548 0304210404 Fan Engagement and Smart Venues Sports Sciences 3 0 3 0 0 45 30 75
Group 3 (Agriculture)
P5549 0304210405 Image Analytics for Agriculture Agriculture 3 2 4 15 10 45 30 100
P5550 0304210406 IoT for Smart Irrigation Systems Agriculture 3 0 3 0 0 45 30 75
Group 4 (Data Science)
P5551 0304210407 Time Series Analysis and Forecasting Data Science 3 2 4 15 10 45 30 100
P5552 0304210408 Big Data: Storage and Analytics Data Science 3 0 3 0 0 45 30 75
Group 5 (Cyber Security)
P5553 0304210409 Ethical Hacking Cyber Security 3 2 4 15 10 45 30 100
P5555 0304210410 AI for Cyber Security Cyber Security 3 0 3 0 0 45 30 75
Total Required Credits 7 15 10 90 60 175
Skill Enhancement Course/s
TEE7200 0304210412 Cloud Computing Essentials for AI   2 0 2 0 0 50 0 50
Total 2 0 0 50 0 50
Mandatory Non-Credit Course/s
    Vasudhav Kutumbhkam                 Mandatory Non-Credit Course
SMC001 0304210413     0 0 0 0 0 0 0  
Total 0 0 0 0 0 0
Multi-disciplinary Course/s
(Choose Any One Course from the University Basket of Multidisciplinary Courses)
The list of Multidisciplinary courses offered will be updated every semester. The list will be shared on the MDC Registration Portal before the commencement of each semester, and students may choose a course of their choice.
You can download the list on eduviz portal.
- - MD2 0 0 3 0 0 75 0 75
Total 3 0 0 75 0 75
Vocational Course/s
(Only for students who wish to exit after the Second Year with a Diploma)
P5556 0304210414 LLM Essential 3 2 4 15 10 45 30 100
Grand Total 21 80 20 305 120 525
Note: Students exiting at the end of the fourth semester and earning 86 credits will be awarded a "Diploma in Artificial Intelligence," provided they successfully complete the additional 4 credits of vocational courses offered during the summer term.

Semester V

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: V
Discipline-Specific Course/s / Major Course/s
T3802 0304210501 Project   0 4 2 30 20 0 0 50
Total 2 30 20 0 0 50
Major Course/s (Choose any one Group)
Group 1 (Health Sciences)
P5557 0304210502 HealthTech Entrepreneurship & Innovation Health Sciences 1 2 2 15 10 15 10 50
P5558 0304210503 AI for Public Health Surveillance Health Sciences 1 2 2 15 10 15 10 50
P5560 0304210504 AI for Mental Health Screening and Monitoring Health Sciences 1 2 2 15 10 15 10 50
P5561 0304210505 AI Integration in Robotics Health Sciences 1 2 2 15 10 15 10 50
P5562 0304210506 AI in Nutrition & Lifestyle Management Health Sciences 1 2 2 15 10 15 10 50
P5563 0304210507 Predictive Analytics and Risk Stratification Health Sciences 1 2 2 15 10 15 10 50
Group 2 (Sports Sciences)
P5564 0304210508 Content Creation in Sports using AI Sports Sciences 3 2 4 15 10 45 30 100
P5565 0304210509 Applications in Sports Business Sports Sciences 4 0 4 0 0 60 40 100
P5566 0304210510 AI for Training Personalization Sports Sciences 4 0 4 0 0 60 40 100
Group 3 (Agriculture)
P5567 0304210511 Data Science for Climate Resilience Study Agriculture 3 2 4 15 10 45 30 100
P5568 0304210512 Design Thinking for Agribusiness Innovation Agriculture 4 0 4 0 0 60 40 100
P5569 0304210513 Post-Harvest Technology and Logistics Optimisation Agriculture 4 0 4 0 0 60 40 100
Group 4 (Data Science)
P5570 0304210514 Computer Vision Data Science 3 2 4 15 10 45 30 100
P5571 0304210515 Data Science for FinTech Data Science 4 0 4 0 0 60 40 100
P5573 0304210516 Predictive Analytics Data Science 4 0 4 0 0 60 40 100
Group 5 (Cyber Security)
P5574 0304210517 AI in Threat Detection Cyber Security 3 2 4 15 10 45 30 100
T3748 0304210518 Data Privacy and Identity Access Control Cyber Security 4 0 4 0 0 60 40 100
P5576 0304210519 Digital Forensic Cyber Security 4 0 4 0 0 60 40 100
Total Required Credits 12 15 10 165 110 300
Minor Course/s (Choose any one group other than the chosen Major)
Group 1 (Health Sciences)
P5557 0304210502 HealthTech Entrepreneurship & Innovation Health Sciences 1 2 2 15 10 15 10 50
P5558 0304210503 AI for Public Health Surveillance Health Sciences 1 2 2 15 10 15 10 50
P5560 0304210504 AI for Mental Health Screening and Monitoring Health Sciences 1 2 2 15 10 15 10 50
P5561 0304210505 AI Integration in Robotics Health Sciences 1 2 2 15 10 15 10 50
Group 2 (Sports Sciences)
P5564 0304210508 Content Creation in Sports using AI Sports Sciences 3 2 4 15 10 45 30 100
P5565 0304210509 Applications in Sports Business Sports Sciences 4 0 4 0 0 60 40 100
Group 3 (Agriculture)
P5567 0304210511 Data Science for Climate Resilience Study Agriculture 3 2 4 15 10 45 30 100
P5568 0304210512 Design Thinking for Agribusiness Innovation Agriculture 4 0 4 0 0 60 40 100
Group 4 (Data Science)
P5570 0304210514 Computer Vision Data Science 3 2 4 15 10 45 30 100
P5571 0304210515 Data Science for FinTech Data Science 4 0 4 0 0 60 40 100
Group 5 (Cyber Security)
P5574 0304210517 AI in Threat Detection Cyber Security 3 2 4 15 10 45 30 100
T3748 0304210518 Data Privacy and identity Access Control Cyber Security 4 0 4 0 0 60 40 100
Total Required Credits 8 15 10 105 70 200
Mandatory Non-Credit Course/s
                      Mandatory
SMC003 0304210520 Health and Wellness *   0 0 0 0 0 0 0 Non-Credit Course
Total 0 0 0 0 0 0
Grand Total 22 135/60 90/40 195/270 130/180 550

Semester VI

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: VI
Discipline-Specific Course/s / Major Course/s
T5525 0304210601 Research Methodology   2 0 3 0 0 75 0 75
Total 3 0 0 75 0 75
Summer Internship Course/s
T3912 0304210602 Internship   0 24 12 180 120 0 0 300
Total 12 180 120 0 0 300
Grand Total 15 180 120 75 0 375
Note: Students exiting at the end of the sixth semester and earning 123 credits will be awarded a ''Bachelor of Science (Artificial Intelligence)'' degree. Total Credits at the end of the Third year (Major 60, Minor 25, Multidisciplinary 6, Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12, Common Value-Added Courses 6).

Semester VII

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: VII
Honours
Major Course/s
P5521 0304210701 GEN AI and LLM Essentials   3 2 4 15 10 45 30 100
P5522 0304210702 MLops   3 2 4 15 10 45 30 100
P5578 0304210703 Responsible AI   4 0 4 0 0 60 40 100
P5579 0304210704 Reinforcement Learning   2 0 2 0 0 30 20 50
F0002 0304210705 Flexi-Credit Course   2 0 2 0 0 50 0 50
Total 16 30 20 230 120 400
Minor Course/s
P5580 0304210706 NOSQL Databases   3 2 4 15 10 45 30 100
P5581 0304210707 Recommender Systems   4 0 4 0 0 60 40 100
Total 8 15 10 105 70 200
Honours with Research
Major Course/s
P5572 0304210708 Literature Review and Research Synthesis   4 0 4 0 0 60 40 100
THM6022 0304210709 Scientific Paper Writing   4 0 4 0 0 100 0 100
THM6021 0304210710 Ethics in Research   4 0 4 0 0 100 0 100
P5582 0304210711 AI for Research   4 0 4 0 0 100 0 100
F0002 0304210712 Flexi-Credit Course   2 0 2 0 0 50 0 50
Total 18 0 0 410 40 450
Minor Course/s
T3804 0304210713 Project   0 8 4 60 40 0 0 100
Total 4 60 40 0 0 100
Grand Total 24/22 45/60 30/40 335/410 190/40 600/550

Semester VIII

Catalog Course Code Course Code Course Title Major/ Minor Teaching Scheme (Hours Per Week) Credits Examination Scheme (Marks) Total Marks
Lectures Lab Practical Theory
CA ESE CA ESE
Semester: VIII
Honours
Major Course/s
P5528 0304210801 Capstone Project   0 24 12 180 120 0 0 300
T3804 0304210802 Seminar   4 0 4 0 0 60 40 100
Total 16 180 120 60 40 400
Honours with Research
Major Course/s
P5585 0304210803 Intellectual Property Rights   2 0 2 0 0 30 20 50
Total 2 0 0 30 20 50
Minor Course/s
P5527 0304210804 Advanced Research Methods   4 0 4 0 0 60 40 100
Total 4 0 0 60 40 100
Research Project / Dissertation Course/s
T3812 0304210805 Research Project   0 24 12 180 120 0 0 300
Total 12 180 120 0 0 300
Grand Total 16/18 180 120 60/90 40/60 400/450
Note: Total Credits at the end of Fourth year for ''Bachelor of Science (Artificial Intelligence) - Honours'' - 163 (Major 92, Minor 33, Multidisciplinary 6, Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12, Common Value-Added Courses 6).
Total Credits at the end of Fourth year for ''Bachelor of Science (Artificial Intelligence) - Honours with Research'' - 163 (Major 80, Minor 33, Multidisciplinary 6, Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12, Research Project / Dissertation - 12, Common Value-Added Courses 6).
Semester 100% Continuous Assessment Credits Term End (University)Examination Credits Total Credits Total Marks
Semester 1 5 15 20 500
Semester 2 8 15 23 575
Semester 3 3 19 22 550
Semester 4 7 14 21 525
Semester 5 0 22 22 550
Semester 6 3 12 15 375
Total 26 97 123 3075
Honours
Semester 7 2 22 24 600
Semester 8 0 16 16 400
Total 28 135 163 4075
Honours with Research
Semester 7 14 8 22 550
Semester 8 0 18 18 450
Total 40 123 163 4075

Pedagogical Framework

BSc in Machine Learning and AI

Foundational Courses in AI, Machine Learning, Statistics, and Programming

Explore BSc in Advanced Artificial Intelligence

Interdisciplinary Modules customized for each programme focus

BSc in Intelligent Systems and AI

Project-Based Learning for hands-on experience

Future-Ready BSc in AI and Robotics

AI Labs & Studio Spaces for innovation and prototyping

BSc in AI-Powered Technologies

Industry Mentorship & Internships for real-world exposure

Science Degree in Artificial Intelligence

Capstone Projects aligned with current research or industry challenges

AI-Centric BSc Program for Tech Enthusiasts

Global Collaborations with international AI research institutions

Eligibility Criteria

Indian Students

Passed Std. XII (10+2) or equivalent examination from any recognized board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for SC/ST). Open to students from all streams (Science, Commerce, Arts) who have passed. Students who wish to opt for Honours with Research must earn 7.5 CGPA and above at the end of Semester VI. Eligibility Criteria for multiple entries will be as per University's Lateral Entry Rules for FYUG programmes.

International Students: (NRI/PIO/Foreign Nationals)

  • Passed / Appeared 10 + 2 examinations
  • Do not have to appear for entrance exam (SET/JEE) in India
  • International Student’s eligibility as per SCEI norms. Please follow the link http://scie.ac.in

Intake

B.Sc. (Artificial Intelligence) -Honours/ Honours with Research- 60

Reservation with Sanctioned Intake

I. Within the sanctioned intake a) SC (In Percentage) b) ST (In Percentage) c) Differently abled (In Percentage) d) Defence (In Percentage)
15 7.5 3 0
II. Over and above the sanctioned intake a) Kashmiri Migrants (In Seats) b) International Students (In Percentage)
2 25

Admission Process & Important dates

A candidate seeking admission for the First Year B.B.A. (Artificial Intelligence) - Honours/ Honours with Research and B.Sc. (Artificial Intelligence) - Honours/ Honours with Research programs at Symbiosis Artificial Intelligence Institute, Pune, have to appear for the SET 2026, which is conducted twice(in May 2026) in CBT mode at multiple test centres across India.

  • The candidate has to register for the SET examination via the SET Registration Portal: Registration through SET by paying INR 2250/-. The registration will close on April 15, 2026.
  • Remember SETID and Pwd for further admission process.
  • Then do the institute registration of 1000/- rs for the SAII B.Sc. (Artificial Intelligence) -Honours/ Honours with Research and/or B.B.A. (Artificial Intelligence) via the SET Registration Portal. The registration will close on 18th May, 2026.
  • Registration includes:
    • Basic candidate information
    • Selection of SET test date(s)
    • Selection of preferred test centre(s) for more information about the Test Centres, please click here https://www.set-test.org/test-cities
    • Institute selection
    • Selection of programme (B.B.A. (Artificial Intelligence) / B.Sc. (Artificial Intelligence) -Honours/ Honours with Research)
    • Upload of relevant documents
    • Payment of fees
    • SET 2026 (Test structure, please click on the link https://www.set-test.org/structure )

Important:

  • Please note that Registration fees are non-refundable and non-transferable.
  • Along with SET registration, SAII institute registration is mandatory for admission. Candidates failing to pay will not be included in the merit list or branch allocation.

Contact for queries:

Email: info@set-test.org | Mobile: 9071013499

  • Once registered for the SET examination, the student can download the admit card from www.set-test.org April 24, 2026, onwards.
  • Appear for SET examination on the selected date (Test-1: 02nd May 2026, 09.00 am to 10.00 am, Test-2: 10th May 2026, 09.00 am to 10.00 am)

  • Results can be checked and scorecards downloaded from www.set-test.org
  • Result Declaration Date: May 20, 2026 (Wednesday)
  • Complete the SAII Institute registration of 1000/- rs if not completed by 18th May,2026
  • Receive Merit List declaration email from 23rd May 2026.

  • The list of eligible candidates shortlisted for PI will be announced on 23rd May 2026.
  • Shortlisted candidates must book their PI slot between 24th May and 27th May 2026 for B.Sc. (Artificial Intelligence) / B.B.A. (Artificial Intelligence).

  • Online PI will be conducted between 1st June and 6th June 2026.
  • The PI process includes:
    • ID Verification
    • Eligibility Verification
    • Personal Interaction

  • The merit list will be prepared based on:
    • SET Score
    • PI Performance
  • Merit List Declaration: 19th June 2026

  • Selected candidates must confirm their admission by paying the programme fees within the deadline mentioned in the offer letter sent via email. After fee payment, candidates interested in hostel accommodation must apply through the SIU Finance portal mentioned in the offer letter sent via email. (Hostel seats are available on a first come first serve basis, based on availability.)

  • After paying the first instalment of fees, students will receive an email from the SIU Eligibility Section.
  • Candidates must log in to the SIU Finance and Eligibility Portals using their student registration credentials.
  • Students are required to download, complete, and upload documents as mentioned in the email sent by the SIU Eligibility Section.

Guidelines for Document Upload

  • Upload one PDF per mandatory document containing scans of both sides/all pages.
  • Ensure all scans are clear, legible, and complete.
  • Save and click the Submit button after uploading documents on the portal.

Contact Information

Admission Related Queries

📧 admissions@saii.siu.edu.in

☎ 020-61936580

📱 7030006485 / 7030006486

International Students' Eligibility As per SCIE norms

Please follow the link : www.scie.ac.in

Contact: intadmissions@symbiosis.ac.in / Contact Number: +91-20-25671905 in case of any queries

Whatsapp : +917720858521 (Whatsapp messages only)

Key Admission Dates

Sr No Description Date(s) (Tentative)
1 Commencement of SET Test Registration + SAII Institute Registration* 15th December 2025
2 Closure of SET Test Registration April 15, 2026
3 Admit Card Live On (www.set-test.org) For SET Test 01: April 24, 2026
For SET Test 02: April 30, 2026
4 SET Exam Dates Test-1: 02nd May 2026, 09.00 am to 10.00 am
Test-2: 10th May 2026, 09.00 am to 10.00 am
5 SET Result Declaration 20th May, 2026
6 Closure of SAII Institute Registration 18th May, 2026
7 Shortlist Declaration 23rd May 2026
8 PI-1 Slot Booking 24th – 27th May 2026
9 PI-1 Interview Conduction Dates 1st June – 6th June 2026
10 Merit List-1 Date 19th June 2026
11 Merit List-2 Date (Based on Vacancy) 27th June 2026
12 Programme Commencement 22nd July 2026

* Along with SET Test registration, for SAII admissions, SAII institute registration is also mandatory

* The above dates are tentative and subject to change as per University guidelines

Fee Structure for Academic Year 2026-27

Educational loan

Educational loan facility for SAII students is made available by Symbiosis International University bank tie up. Please visit the link given below for details of each bank's educational loan schemes.

Enquiry for Education Loan Click Here

https://www.siu.edu.in/education-loans

Indian Students

Program Fees for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research 1st Year Academic Year 2026-27
Academic Fees (Per Annum) ₹ 3,60,000
Institute Deposit (Refundable) ₹ 20,000
Installments for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research 1st Year 2026-27 (Amount in ₹)
1st Installment 2nd Installment
Academic Fees (Per Annum) ₹ 1,80,000 ₹ 1,80,000
Institute Deposit (Refundable) ₹ 20,000 -
Installments ₹ 2,00,000 ₹ 1,80,000
Last date of payment At the time of Admission 25-Nov-2026
Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated here in are for Lavale Hill Base Campus Only) 1st Year 2026-27 (Amount in ₹)
Total Fee
Mess Fees (Per Annum) ₹1,19,600
Hostel Deposit (Refundable) ₹20,000
Hostel Fees (Different, Subject to Sharing, Per Annum) @
Single Living (Subject to availability) ₹2,95,600
Three Sharing ₹1,68,900
Four Sharing ₹1,24,100
Last date of payment At the time of Admission

NRI, PIO, OCI Category

Program Fees for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research Student taking Admission in
(a) NRI, PIO, OCI Category 1st Year 2026-27 Amount in $
Academic Fees (Per Annum) $6,520
Academic Fees (per Annum) to be paid (A) $6,520
Institute Deposit (Refundable)(B) $275
Administrative Fees (Non-Refundable) $550
Administrative Fees (Non-Refundable) to be paid (C) $550
Total Fees to be paid (D)=(A+B+C) $7,345
(a) Installment for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research students taking Admission in NRI, PIO, OCI Category 1st Year 2026-27 (Amount in $)
1st Installment 2nd Installment 3rd Installment
Administrative Fees (Non-Refundable) $550 - -
Academic Fees (Per Annum) $540 $2,990 $2,990
Institute Deposit (Refundable) $275 - -
Installment $1,365 $2,990 $2,990
Last date of payment At the time of acceptance of 'Offer Letter' At the time of Reporting to SCIE 25-Nov-2026
(a) Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated herein are for Lavale Hill Base Campus Only) Student taking Admission in NRI, PIO, OCI Category 1st Year 2026-27 Amount in $
Total Fee 1st Installment 2nd Installment
Mess Fees (Per Annum) $1,400 $700 $700
Hostel Deposit (Refundable) $250 $250 -
Hostel Fees (Different, Subject to Sharing, Per Annum) - - -
Single Living (Subject to availability) $3,420 $3,420 -
Three Sharing $1,960 $1,960 -
Four Sharing $1,440 $1,440 -
Last date of payment At the time of Reporting to SCIE 25-Nov-2026

Foreign National Category

Program Fees for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research Student taking Admission in
(b) Foreign National Category 1st Year 2026-27 Amount In $
Academic Fees (Per Annum) $6,520
Less: Symbiosis Golden Jubilee Scholarship to Foreign National Students II $5,220
Academic Fees (per Annum) to be paid (A) $1,300
Institute Deposit (Refundable)(B) $275
Administrative Fees (Non-Refundable) $550
Less: 50% Fee Concession on Administrative Fees $275
Administrative Fees (Non-Refundable) to be paid (C) $275
Total Fees to be paid(D)=(A+B+C) $1,850
(b) Installments for Bachelor of Science (Artificial Intelligence) Honours/Honours with Research students taking Admission in Foreign NationalCategory 1st Year 2026-27 (Amount in US$)
1st Installment 2nd Installment 3rd Installment
Administrative Fees (Non-Refundable) $275 - -
Academic Fees (Per Annum) $815 $240 $245
Institute Deposit (Refundable) $275 - -
Installments $1,365 $240 $245
Last date of payment At the time of acceptance of 'Offer Letter' At the time of Reporting to SCIE 25-Nov-2026
(b) Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated herein are for Lavale Hill Base Campus Only) Student taking Admission in Foreign National Category 1st year 2026-27 Amount in $
Total Fee 1st Installment 2nd Installment
Mess Fees (Per Annum) $560 $280 $280
Hostel Deposit (Refundable) $250 $250 -
Hostel Fees (Different, Subject to Sharing, Per Annum - - -
Three Sharing $650 $650 -
Four Sharing $650 $650 -
Last date of payment At the time of acceptance of 'Offer Letter' 25-Nov-2026
Rules for Refund of Fees

Scholarships

Scholarships

Symbiosis International (Deemed University) has various scholarship schemes to reward meritorious students.

Scholarship Policy

With the objective of encouraging meritorious students and academic excellence, Scholarships/ Awards are offered to deserving students of the University by the Symbiosis Society Foundation.

SAII

SAII awards merit scholarship under SIU policy for all our undergraduate programmes. The following are the details of the Scholarship for Academic Excellence at SAII.

The Scheme

Merit Scholarship for Semester / Annual Toppers - (Post Graduate & Under Graduate programmes)

Applicability and Commencement: This scholarship is applicable to:

  • All UG / PG degree programmes which follow semester pattern
  • UG / PG degree programmes which follow annual pattern (except SMCW)
  • A student can avail only one SIU scholarship per semester

Awarded to:

  • Four semester toppers in the order of merit of every batch of every degree programme (UG and PG) under SIU.
  • Four toppers which follow annual pattern.

Nature of the scholarship:

First four toppers in the order of merit of every batch of every programme in every semester/ annually will be awarded the Merit Scholarship.

The Scholarship recipients are granted concession in Academic Fees of the semester, applicable to all full time Post Graduate and Under Graduate degree programmes of all the Constituents of SIU, as below:

  • 1st topper gets 20%,
  • 2nd topper gets 15%,
  • 3rd topper gets 10%,
  • 4th topper gets 5%

The scholarship amount will not be paid directly to the students. It will be transferred by the University directly to the Constituent, for the adjustment in academic fee of the following semester.

In case the student is a topper in the last semester of the programme, the scholarship amount will be transferred to the student’s bank account as per available records

SIU Scholarships details and other scholarships offered by SIU can be seen at -https://www.siu.edu.in/admissions/scholarship

Career Opportunities

Future Prospects for B.Sc. (Artificial Intelligence) -Honours/ Honours with Research Graduates

A B.Sc. (Artificial Intelligence) -Honours/ Honours with Research from SAII (साई) is a unique programme that blends core business knowledge with emerging AI technologies, preparing graduates to lead digital transformation across industries. It enables students to understand how to apply AI in solving business problems, optimizing operations, and driving innovation. Businesses increasingly need professionals who understand both AI toolsand business strategy.

BSc in Computational Intelligence
Bachelor’s in AI and Emerging Technologies

Student Achievements

Student Achievements
Student Achievements
Student Achievements
Student Achievements
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