Course Overview
B. Tech (CSE AI & ML) Course Overview
The B. Tech CSE AI and ML programme is for students who are interested in creating smart systems that can learn from data, identify patterns, and assist in decision-making in the real world. This programme is for you if you are interested in B. Tech CSE AI and ML course details that integrate a solid foundation of computer science with the advanced competence of artificial intelligence, thus offering a futuristic engineering pathway.
In this course, you get the complete picture of the B. Tech AI and ML, i.e., the Computer Science and Engineering with Artificial Intelligence and Machine Learning degree, and how it is applied in different industries. The course content is designed to enable you to gain abilities in programming, algorithms, data structures, software engineering, and, simultaneously, gain expert knowledge in machine learning, artificial intelligence, data science, and intelligent systems.
By studying the syllabus of B. Tech CSE AI and ML, you come to understand the various steps (such as designing, training, evaluating, and deploying) involved in the making of modern AI models. The programme gives a lot of weight to different aspects of thinking such as analysis and reasoning as well as problem-solving skills and the ability to change continuously. Hence, you will be able to adapt to the fast-changing technology scenario and still be able to use the AI and ML methods for solving the problems of the real world.
Vishwakarma University, Pune, is where the programme not only supports industry readiness but also academic progression. If you are comparing B. Tech CSE AI and ML colleges in Pune or considering B. Tech artificial intelligence and machine learning colleges in India, this course will equip you with the skills needed for AI-focused industries, as well as further studies and research in AI, machine learning, and related areas.
Program Structure
Course Name
BTech – CSE (AI & ML) Programme Structure-2023
Course Duration
4 Years – 8 Semesters
Last Date to Apply
6 Feb 2026
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Programme Outcomes
On successful completion of the programme, you will be able to:
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Use your knowledge of mathematics, computer science, engineering basics, and artificial intelligence to devise solutions for complex problems in AI and machine learning systems.
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Recognise, analyse, and assess complicated computing and AI issues using logical reasoning, data-driven approach, and analytical techniques.
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Create, invent, and put into practice AI and ML-based solutions that are compliant with the given functional, technical, and societal criteria.
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Conduct research on a complicated issue and provide a solution that is supported by facts through suitable research methods, experiment, analysis and interpretation of data.
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Familiarise yourself and create programs with the help of the latest programming tools, AI frameworks, machine learning libraries, and development platforms.
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Recognise the necessity for and be willing to carry out self and lifelong studies as a means of equipping yourself with the changing technological advances, especially the areas of artificial intelligence and machine learning.
Achievements

As per Times Higher Education Global Impact Rankings 2021, Vishwakarma University, Pune is featured in the top institutions amongst 1200 universities from 98 countries/regions. These rankings assess universities against the United Nations’ Sustainable Development Goals (SDGs).
Vishwakarma University is conferred with the Emerging University of the Year award in Western India by ASSOCHAM in its 13th Higher Education Conclave 2020.
Vishwakarma University Pune has been declared Winner for Excellence in Design Education Award at the World Education Award 2021(Higher Education) held on March 6, 2021 for the project “Industry on Campus and Industry Connect”.
Key Features
Sponsored international internship opportunities
Semester- or year-long industry internships
Placement assistance and career guidance support
Capstone project in association with Binghamton University
Hands-on working knowledge of AI and Machine Learning tools
Faculty

Dr. Ashwini Sonawane
HOD
Dr. Vaishali wagh
Assistant ProfessorAdmission Process
B Tech (CSE AI & ML)
How to Apply-
Option 1- Online Form Filling
-Visit Vishwakarma University (VU) website: www.vupune.ac.in
-Click On “Apply for Admission” Button.
-This is the online admission functionality of Vishwakarma University (VU), Pune.
Refer and understand all information tabs regarding Approvals, -Fees, Documents, Hostel, etc.
-After clearing all queries/doubts click on the “Secure Provisional Admission” Button.
It will guide you through the following steps.
Step 1: Fill up Basic Information (Application Form) – Proceed to Apply – Pay Rs.
2000/- (Non-Refundable) as an application fee towards Provisional Admission.
Step 2: Fill up the Detail Provisional Admission Form and Pay Rs.
25,000/- (First Instalment) to secure provisional Admission.
At every step necessary information/updates (pdf attachments) will be provided on email.
Keep checking the same.
Successful filling up of the application form and payment of fees, together will complete the provisional admission process.
Option 2 - Offline (In Person) Form Filling
-Visit Vishwakarma University, Pune Campus – Counselling and Admissions Office (VU Pune –Building no.5 – Ground Floor – Admission Cell)
-Get detailed information about the programme, curriculum, syllabus, infrastructure, facilities, etc.
-Apply in person for provisional admission by filling up the Application Form (Fees – Rs.
2000/- non-refundable) and Provisional Admission Form along with provisional admission of fees of Rs.
25,000/-
-All payments are to be made digitally (UPI / Debit Card / Credit Card / NEFT / RTGS etc.)
-Counselling and Admissions Office will guide the candidate further regarding the submission of documents, eligibility check, etc.
Note: Vishwakarma University (VU), Pune charges an application form fee.
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Frequently Asked Questions (FAQs)
Both programmes share a strong computer science foundation, but B.Tech CSE AI & ML is a specialised version of CSE. While a regular CSE degree covers a broad range of computing subjects, CSE AI & ML focuses more deeply on artificial intelligence, machine learning, and data-driven systems. If you are interested in intelligent technologies and advanced analytics, B.Tech CSE AI & ML offers more targeted preparation.
Eligibility for B.Tech CSE AI & ML admission in Pune generally requires completion of 10+2 with Physics and Mathematics as compulsory subjects, along with other subjects as per university norms. The exact eligibility criteria are defined by Vishwakarma University, Pune and may vary by admission cycle. Applicants are advised to refer to the official admission guidelines for the latest details.
Yes, B.Tech CSE AI & ML involves Mathematics, particularly areas such as linear algebra, probability, statistics, and optimisation, which are essential for understanding AI and machine learning concepts. However, the programme is designed to build this mathematical foundation gradually alongside practical applications.
Graduates of B.Tech CSE AI & ML can pursue roles such as AI Engineer, Machine Learning Engineer, Data Analyst, Data Scientist (entry-level), and Software Engineer. Career outcomes and salary levels depend on skills, experience, industry sector, and role, with strong long-term growth potential as expertise develops.
The B.Tech CSE AI & ML curriculum typically includes programming in Python, along with exposure to other languages and tools relevant to artificial intelligence, machine learning, and software development. You will also work with popular AI and ML libraries and frameworks as part of your coursework and projects.
Yes, graduates of B.Tech CSE AI & ML are well prepared for traditional software roles such as Software Developer or Software Engineer, in addition to AI- and ML-focused positions. The programme’s strong computer science and programming foundation provides flexibility across multiple career paths.
Yes, universities offering B.Tech CSE AI & ML in Pune, including Vishwakarma University, Pune, provide specialised laboratories and computing facilities that support hands-on learning in artificial intelligence and machine learning through practical sessions, projects, and experimentation.





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