Post Graduate Diploma (Data Analytics and Gen AI)


Post Graduate Diploma (Data Analytics and Gen AI)

2 Years - 4 Semesters - Full Time

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Overview

The Post Graduate Diploma in Data Analytics and Generative AI is a one-year program designed to provide a comprehensive understanding of data science, artificial intelligence (AI), and generative AI technologies, equipping students with in-demand technical skills and practical knowledge. The curriculum covers essential topics such as Python programming, data visualization, machine learning, deep learning, and generative AI models like ChatGPT and DALL-E 2, while also emphasizing tools like Tableau, Power BI, TensorFlow, and SQL. Through hands-on projects and capstone assignments, students gain real-world experience in solving complex problems and building interactive dashboards. The program prepares participants for high-demand roles such as Data Scientist, Machine Learning Engineer, Generative AI Specialist, or Business Analyst by offering career-focused workshops, networking opportunities, and job assistance services. With a blended learning approach that combines live sessions with self-paced modules led by industry experts, this program is ideal for graduates or professionals looking to transition into the rapidly evolving fields of data analytics and AI.


Graduates of this program will:

  • Gain foundational knowledge in Data Science and Artificial Intelligence, including theories, principles, and practices.
  • Develop hands-on technical skills in programming languages such as Python, R, and SQL.
  • Strengthen data analysis and visualization capabilities using tools like Tableau and Power BI.
  • Master advanced AI applications, including machine learning algorithms, natural language processing, computer vision, robotics, and predictive analytics.
  • Apply their knowledge through real-world projects, capstone assignments, and collaborative activities to solve industry-relevant challenges.

 

 


Post Graduate Diploma (Data Analytics and Gen AI) -Program structures

 

Sem-1

Sr.No. Course Code Course Name
1 PGDDAAI25101 Programming Fundamentals using Python
2 PGDDAAI25102 Statistics for Data Science (TCSiON)
3 PGDDAAI25103 Machine Learning Fundamentals (TCSiON)
4 PGDDAAI25104 Data Warehousing and predictive Modeling
5 PGDDAAI25105

Data Visualization using Tableau and PowerBI (TCSiON)

6 PGDDAAI25106 Campus to Corporate

 

Sem-2

Sr.No

Course Code  Course Name
1 PGDDAAI25201

 Introduction to Artificial Intelligence (TCSiON)

2 PGDDAAI25202 Deep Learning
3 PGDDAAI25203 Natural Language Processing
4 PGDDAAI25204 Big Data Technologies (TCSiON)
5 PGDDAAI25205 Generative Artificial Intelligence
6 PGDDAAI25206 Industry Project

 


  • Industry-Relevant Curriculum: Designed in collaboration with TCSiON to address current trends in AI and Data Science.
  • Hands-On Learning: Practical exposure through programming exercises, data visualization tools, machine learning frameworks, and real-world datasets.
  • Capstone Projects: Opportunities to work on industry-relevant projects that enhance problem-solving skills.
  • Expert Faculty: Guidance from experienced professors and industry professionals.
  • Limited Intake: A maximum of only 50 seats ensures personalized attention.

 


Dr. Rajkumar S. Jagdale
Faculty of Science & Technology

Dr. Rajkumar S. Jagdale
HOD, Dept of Computer Science
Dr. Pooja Kulkarni
Faculty of Science & Technology

Dr. Pooja Kulkarni
In-Charge Head, Dept of Computer Applications
Dr. Sonali Kedar Powar
Faculty of Science & Technology

Dr. Sonali Kedar Powar
Assistant Professor
Ms. Shriprada Shrimant Chaturbhuj
Faculty of Science & Technology

Ms. Shriprada Shrimant Chaturbhuj
Assistant Professor
Dr. Madhuri Prashant Pant
Faculty of Science & Technology

Dr. Madhuri Prashant Pant
Assistant Professor
Dr. Anupriya Kamble
Faculty of Science & Technology

Dr. Anupriya Kamble
Assistant Professor
Dr. Mayur Prakashrao Deshmukh
Faculty of Science & Technology

Dr. Mayur Prakashrao Deshmukh
Assistant Professor

Graduates can pursue diverse roles across industries such as technology, healthcare, finance, retail, manufacturing, and media. Popular career opportunities include:

Artificial Intelligence Roles:

  • Machine Learning Engineer
  • AI Research Scientist
  • Natural Language Processing Developer
  • Robotics Engineer
  • Deep Learning Specialist

Data Analytics Roles:

  • Data Scientist
  • Data Analyst
  • Business Intelligence Developer
  • Big Data Engineer/Architect
  • Statistician

High-Paying Opportunities:

Entry-level roles like Data Analysts earn around ₹4–5 LPA, while experienced professionals such as Machine Learning Engineers or Data Architects can earn ₹12–25 LPA or more. Emerging roles include Ethical AI Specialists and Responsible Data Governance Experts.

With the growing demand for skilled professionals in AI and Data Science—projected to increase by up to 40% by 2027—this program prepares students for lucrative careers in these dynamic fields.



“In Vishwakarma University we get a unique opportunity to team with students from multiple disciplines and come up with real-time projects which consider all the aspects. I believe the willingness of the professors to help us, not only in the areas pertinent to their class but also our endeavors outside of the classroom, makes the department stand out. University has signed many MoUs and various interactive sessions by the industry experts are arranged. Professors try to introduce some exciting projects and activities which give a practical glimpse of what's actually happening out there in the world, helping us maximize our potential.”

-Nimisha Doshi, Student

“I have always been given a lot of opportunities by Vishwakarma University time and time again, whether it be to start a new software club, be an intern at an international research project, or lead the coordination of various events. The teachers here truly value the students who put in the efforts and never cease to help them when in need.

-Karan Jagtiani, Student

“Vishwakarma University provides the students the opportunities to connect with industry and practice what they learn along with well-experienced faculty and industrial experts. There is immense support provided to students when they want to learn something new. The faculty are also supportive and available to help students whenever they need it. Overall learn, practice, experience, and grow are the four pillars of the university.”

-Kunal Agarwal, Student


  • 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.
  • Dr. Bharati Ainapure, Dr. Yogesh Deshpande, Prof. Noshir Tarapore, and Prof. Reshma Pise Received research grants from various Government and Corporate funding agencies.
  • Dr. Prasad Gokhale is the authorized reviewer for the IEEE Communication Magazine, Journal of Optical Communications and Networking (JOCN),  Springer.
  • Prof. Reshma Pise awarded the Gold Medal for her SUN JAVA certification.
  • Nimisha Doshi (SY student) got selected for the TalentSprint Women Engineers program supported by Google and also won a Rs 2 lakh scholarship.
  • Prof. Yogesh Deshpande becomes the Vice President of the Global VRAR Association Pune Chapter


Option 1- Online Form Filling

Option 2 – Offline (In Person) Form Filling

Note: Vishwakarma University (VU), Pune charges an application form fee.


Educational Qualification:

To apply for the Post Graduate Diploma in Data Science and Artificial Intelligence, candidates must meet the following eligibility requirements:

  • A bachelor’s degree in a relevant field such as Science, Engineering, Mathematics, Computer Science, or related disciplines from a recognized university.
  • A minimum aggregate of 50% marks or equivalent grade is required (45% for candidates from Scheduled Castes/Scheduled Tribes).

Documents Required: 

As applicable for the UG / PG Programme

  • 10th Examination Mark Sheet / Passing Certificate.
  • 12th Examination / Equivalent Diploma Mark Sheet / Passing Certificate.
  • Graduation Mark Sheet (if applicable).
  • Graduation Passing Certificate (if applicable).
  • Domicile Certificate / Birth Certificate / School Leaving Certificate (anyone).
  • Nationality Certificate / Birth Certificate / Passport (anyone).
  • Entrance Test Score card (if applicable).
  • Two Latest Passport Size Photographs.
  • Transfer / Leaving Certificate from previous college - as and when available.
  • Migration Certificate (if applicable) - as and when available.
  • Aadhar Card.
  • PAN Card (if available).
  • Gap Certificate (if applicable)
  • Scanned Copy of Passport Size Photograph for I-Card and other documentation.
  • Scanned Copy of Signature for I-Card and other documentation.

For Reserved Category Students – Caste Certificate, Caste Validity, and Non-Creamy Layer Certificate, are additionally required (over and above listed documents).

 

Program fees and Installment Plan

Fees: ₹2,00,000/- (May be paid in two instalments)


As applicable for the UG / PG Programme

For Reserved Category Students – Caste Certificate, Caste Validity, and Non-Creamy Layer Certificate, are additionally required (over and above listed documents).

Last date of submitting all / pending documents: 31st August 2024



If admission (provisional / confirmed) is cancelled before 31st August, 2025, then Rs. 1000/- will be deducted and the balance amount will be refunded.

If admission (provisional / confirmed) is cancelled after 31st August, 2025, then no paid fees will be refunded.

Note: Students / Candidate is expected to be in touch with Counselling and Admissions Office, VU, to seek update on last date of admission.

If refund is applicable, then the applicable amount (refund) will be disbursed/ credited to the candidate’s/ parent’s bank A/c through RTGS/NEFT, as per A/c details indicated by the candidate within 15 working days from the date of cancellation of admission.

Contact Details for Refund: Accounts Section – 8669908301 / 02026950320



Separate accommodation and food facility for Boys and Girls on a first come first serve basis.

  • Hostel Charges: Rs 1,05,000/-
  • It includes a Mess (Breakfast + Dinner) and a Refundable Deposit of Rs. 5,000/-.
  • Laundry: Charged separately
  • Transport facility charges (optional and subject to the minimum number of students) are payable separately and will be notified in due course of time.
  • Visit https://www.vupune.ac.in/hostel to know more about Hostel.

Note: Refer to photo gallery for Hostel facilities.



Counselling & Admission Officers :

Mr. Ganesh Thite / Mr. Vinayak Shinde

Contact Numbers: 8669908324 / 8669908325 / 8669908323 / 324 / 325

Timings: Monday to Saturday (9.30 a.m. to 6.00 p.m.)

Vishwakarma University, Admission Cell, Building no. 5, Ground Floor, Survey No. 2, 3, 4 Laxmi Nagar

Kondhwa (Bk.) Pune - 411048.Maharashtra, India

Maharashtra, India.

Email: admissions@vupune.ac.in

Website: www.vupune.ac.in

Instagram:Vishwakarma University – VU

Facebook: @vishwakarmauniversity

Twitter: @VU_Connect

 



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