B.Tech AI&ML

Welcome to B.Tech Artificial Intelligence and Machine Learning

About Program

Eligibility

Program highlights

Program Details

Fee Details

Faculty Details

About Program

Artificial intelligence is a broad field, which refers to the use of technologies to build machines and computers that have the ability to mimic cognitive functions associated with human intelligence, such as being able to see, understand, and respond to spoken or written language, analyze data, make recommendations, and more. Although artificial intelligence is often thought of as a system in itself. It is a set of technologies implemented in a system to enable it to reason, learn, and act to solve a complex problem.

Machine learning is a subset of artificial intelligence that automatically enables a machine or system to learn and improve from experience. Instead of explicit programming, machine learning uses algorithms to analyze large amounts of data, learn from the insights, and then make informed decisions. Machine learning algorithms improve performance over time as they are trained exposed to more data. Machine learning models are the output, or what the program learns from running an algorithm on training data. The more data used, the better the model will get.

AI and ML bring powerful benefits to organizations of all shapes and sizes, with new possibilities constantly emerging. In particular, as the amount of data grows in size and complexity, automated and intelligent systems are becoming vital to helping companies automate tasks, unlock value, and generate actionable insights to achieve better outcomes.

Industries are using AI and ML in various ways to transform their work and do business. Incorporating AI and ML capabilities into their strategies and systems helps organizations rethink how they use their data and available resources, drive productivity and efficiency, enhance data-driven decision-making through predictive analytics, and improve customer and employee experiences.

Here are some of the most common applications of AI and ML:

Healthcare and life sciences
Manufacturing
Ecommerce and retail
Financial services
Telecommunications

Eligibility

Eligibility Criteria for Indian Nationals

1. Passed 10+2 examination with physics and mathematics and one of the subjects from the following: –
Chemistry /Computer Science / Electronics /Information Technology /Biology/Informatics Practices / Biotechnology / Technical Vocational subject/Agriculture/Engineering Graphics/ Business Studies/ Entrepreneurship and obtained at least 50% marks (at least 45% marks, in case of candidates belonging to reserved category, EWS & PWD candidates belonging to Maharashtra state only) in the above subjects taken together.
OR
2.Should have passed minimum 3 years Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only);
(The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme). 2^nd year, in case the vacancies at lateral entry are exhausted.
AND
1. Qualifying score in JEE OR MHT-CET OR any other State level Engineering Entrance Exam OR National level Engineering Entrance Exam OR Common University Entrance Test (CUET) OR Symbiosis Engineering Entrance Test (SEET) conducted by SSPU OR Symbiosis International (Deemed) University’s SET Score and Candidate also need to appear for counselling session.
2. Candidates will be selected based on their performance in the entrance test conducted by SSPU.

Eligibility Criteria for Foreign/NRI Students

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship. Student should have obtained at least 50% marks in the above subjects taken together and must obtain an equivalence certificate from the Association of Indian Universities (AIU).
The application format is available on AIU website link: https://evaluation.aiu.ac.in/Student/EHome
All foreign qualifications need to be verified by the AIU by the candidate before seeking provisional admission.
To promote international understanding between Indian and Foreign candidates, SSPU has reserved seats for NRIs/International candidates in every division (Supernumerary Quota).
Qualifying score in JEE or Symbiosis Engineering Entrance Test (SEET) conducted by SSPU.
Candidates will be selected based on the entrance test conducted by SSPU.
Final approval by internal Equivalence committee of SSPU.

Lateral Entry for Second Year B. Tech. Programmes

Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) (Respective Council) in ANY branch of Engineering and Technology.

Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) as per guidelines of UGC / AICTE / Respective Council) and passed 10+2 examination with Mathematics as a subject.

Passed B. Voc./3yrs, D. Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme) Refer to table 1.10 of Appendix – 1

Note: Lateral Entry admission will be subject to a minimum of 60%

course mapping and/or as per Annexure I.

Program highlights

Comprehensive Industry Oriented Curriculum: Well-designed curriculum covering the fundamentals and advanced topics in AI and ML (Generative AI, Deep Learning, Natural Language Processing, Computer Vision, etc.)
Hands-On/ Skills: More emphasis on practical, skills hands-on approach with real-world projects.
Expert Faculty: Highly qualified and experienced faculty members with expertise in AI and ML, with significant contribution in research and industry sectors.
State-of-the-Art Labs: Well-equipped AI and ML laboratories with the latest hardware and software resources.
Interdisciplinary Approach: Collaborations with other departments to promote interdisciplinary learning, such as combining AI/ML with business, healthcare, or engineering, etc.
Industry Connections: Partnerships with leading tech companies to provide internships, workshops, and guest lectures from industry experts.
Hackathons and Technical Event: Frequent conduction of technical activities like hackathons, data science competitions, and coding challenges to foster a competitive and collaborative learning environment.
Networking Opportunities: Through various outreach programs such as Industry and International collaborative events, conferences, and seminars with professionals in AI and ML across the globe.
Career Services: Dedicated career services to assist students in securing internships and job placements in AI and ML-related fields.
Research Mentorship for Higher Education: Opportunities for students to engage in AI and ML research projects to cater their scope for pursing higher education.

Program Details

Semester I
No.	Subject	Code
1.1	Applied Mathematics – I	AI0101
1.2	Computer Programming and Algorithms	AI0102
1.3	Computer Organization and Architecture	AI0103
1.4	Introduction to Artificial Intelligence	AI0104
1.5	Exploratory data analysis	AI0105
1.6	Sustainability and Environmental Studies	IEVS100/AI0106
1.7	Business Communication Skills	ISDC101
	Total Weekly Hours:	30
Semester II
No.	Subject	Code
2.1	Applied Mathematics – II	AI0201
2.2	Data Structures	AI0202
2.3	Operating Systems	AI0203
2.4	Fundamentals of Machine Learning	AI0204
2.5	Python Programming	AI0205
2.6	Business Fundamentals	AI0206
2.7	Life Coping Skills	ISDC201
2.8	Summer Internship	AI0207
	Total Weekly Hours:	31
Semester-III
No.	Subject	Code
3.1	Database Management Systems	AI0301
3.2	Object-Oriented Programming	AI0302
3.3	Deep Learning	AI0303
3.4	Computer Graphics	AI0304
3.5	IoT with Artificial Intelligence	AI0305
3.6	Domain Foundation-I (Elective)*
	Pattern Recognition	AI0306A
	Information Security	AI0306B
	Design Thinking	AI0306C
	Open Elective	AI0306D
3.7	Personality Enhancement Skills	IDSC301
	Total Weekly Hours:	31
Semester IV
No.	Subject	Code
4.1	Big Data Analytics	AI0401
4.2	Web Application Development	AI0402
4.3	Introduction to Natural Language Processing (NLP)	AI0403
4.4	Computer Networks	AI0404
4.5	Software Development and Operations	AI0405
4.6	Domain Foundation-II (Elective)*
	Robotics and Automation	AI0406A
	AI in Cybersecurity	AI0406B
	Games Theory	AI0406C
	Open Elective	AI0406D
4.7	Career Development Skills	IDSC402
4.8	Summer Internship	AI0407
	Total Weekly Hours:	31
Semester V
No.	Subject	Code
5.1	Design and analysis of	AI0501
	Algorithm
5.2	Social Media Analytics	AI0502
5.3	Reinforcement Learning	AI0503
5.4	Machine Vision	AI0504
5.5	Artificial Neural Network	AI0505
5.6	Domain Advances-I*
	Soft Computing	AI0506A
	Blockchain	AI0506B
	Augmented Reality and Virtual Reality	AI0506C
	Open Elective	AI0506D
5.7	Professional Competency Skills	IDSC501
	Total Weekly Hours:	31
Semester VI
No.	Subject	Code
6.1	Machine Learning Operations	AI0601
6.2	Data Modelling	AI0602
6.3	Quantum Computing	AI0603
6.4	Cloud Computing	AI0604
6.5	Management &	AI0605
	Entrepreneurship for IT
	Industry
6.6	Domain Advances-II*
	AI in Healthcare	AI0606A
	AI in VANET	AI0606B
	Demand Forecasting	AI0606C
	Open Elective	AI0606D
6.7	Behaviour Skills	IDSC601
6.8	Internship	AI0607
	Total Weekly Hours:	30
Semester VII
No.	Subject	Code
7.1	Prompt Engineering for Generative AI	AI0701
7.2	Explainable Artificial Intelligence	AI0702
7.3	Web Semantics and Ontology	AI0703
7.4	Research Methodology	AI0704
7.5	Project	AI0705
7.6	Organizational Skills	IDSC701
	Total Weekly Hours:	30
Semester VIII

No.	Subject	Code
8.1	Internship	AI0801
8.2	Seminar	AI0802
	Total Weekly Hours:	18

* – Only one domain elective will be opted by the students in each semester of the second and third year.

Fee Details

Fee Deatils For Indian Student

(New Admission – 2026-27)
Caution Money	Academic Fees	Total Fees	1st Installments	2nd Installments
			At the time of Admission	Due Date – 31-10-2026
10,000	3,09,500	3,19,500	1,72,000	1,47,500


(Existing Students-2026-27)
	Academic Fees	1st Installments	2nd Installments
		Due Date – 31-07-2026	Due Date – 31-10-2026
	3,09,500	1,62,000	1,47,500

Hostel Charges
1	Room Category	2-Seater Non-AC Room
2	Existing Fee without Caution Money (Rs.)	1,95,000
3	Revised Fee without Caution Money (Rs.)	2,05,000

Fee Details For NRI Student

(New Admission – 2026-27)
Caution Money	Academic Fees	Total Fees	1st Installments	2nd Installments
			At the time of Admission	Due Date – 31-10-2026
10,000	3,59,500	3,69,500	1,97,500	1,72,500


(Existing Students-2026-27)
	Academic Fees	1st Installments	2nd Installments
		Due Date – 31-07-2026	Due Date – 31-10-2026
	3,59,500	1,87,000	1,72,500

Hostel Charges
1	Room Category	2-Seater Non-AC Room
2	Existing Fee without Caution Money (Rs.)	1,95,000
3	Revised Fee without Caution Money (Rs.)	2,05,000

Faculty Details

Office:

E-111, Cabin No. 4

Education Details:

Prof. (Dr.) Jayant Jagtap received the B.E. in Electronics and Telecommunication Engineering from Dr. Babasaheb Ambedkar Marathwada University, Maharashtra in 2008.M.Tech. in Electronics Engineering and Ph.D. in Electronics and Telecommunication Engineering from Swami Ramanand Teerth Marathwada University Nanded, Maharashtra in 2011 and 2017 respectively.

Profile:

Dr. Jayant Jagtap is a distinguished academician, researcher, and thought leader in the field of Artificial Intelligence and Machine Learning (AIML). He is currently serving as Professor and Program In-Charge of AIML at the School of Computer Science and Information Technology (CSIT), Symbiosis Skills and Professional University, Pune.With over 15 years of teaching and research experience, Dr. Jagtap has established himself as a pioneer in advancing cutting-edge research and innovation in AI-driven Healthcare, Computer Vision, Medical Image Analysis, and Sustainable AI Applications.

Academic & Research Contributions

Guided 2 Ph.D. scholars, multiple postgraduate dissertations, and 25+ undergraduate projects, and a DST-CHANAKYA Post-Doctoral Fellow.
Published extensively (66+ papers) in reputed SCIE and Scopus-indexed journals, including Scientific Reports, IEEE Access, MethodsX, and Expert Systems with Applications.
Holds multiple Indian patents in AI for healthcare and assistive technologies.
Secured research funding from premier agencies such as DST and IIIT Delhi, focusing on AI for medical imaging and digital literacy.

Professional Engagements & Global Outreach

Delivered keynote addresses, invited talks, and expert sessions at international conferences across Europe, Russia, and India.
Served as reviewer for journals such as IEEE Access, Scientific Reports, Expert Systems with Applications, Neurocomputing, and Academic Radiology.
Actively involved in international collaborations in AI, Computer Vision, and Healthcare Technologies.

Recognition & Memberships