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.

 

 



  • 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.

 


Prof.(Dr.) Kailas Patil
Faculty of Science & Technology

Prof.(Dr.) Kailas Patil
Dean, Faculty of Science & Technology & Chief Information Security Officer
Dr. Reshma Pise
Faculty of Science & Technology

Dr. Reshma Pise
HOD, Dept of Computer Engineering
Dr. Sandip S. Thite
Faculty of Science & Technology

Dr. Sandip S. Thite
Associate Dean, Faculty of Science & Technology
Mr. Sanjesh Pawale
Faculty of Science & Technology

Mr. Sanjesh Pawale
Director, Research
Dr. Bharati Ainapure
Faculty of Science & Technology

Dr. Bharati Ainapure
Associate Professor
Mr. Noshir Zal Tarapore
Faculty of Science & Technology

Mr. Noshir Zal Tarapore
Assistant professor
Mrs. Madhavi Dachawar
Faculty of Science & Technology

Mrs. Madhavi Dachawar
Assistant Professor
Ms. Kavita Suresh Kumavat
Faculty of Science & Technology

Ms. Kavita Suresh Kumavat
Assistant Professor
Mr. Tareek Manohar Pattewar
Faculty of Science & Technology

Mr. Tareek Manohar Pattewar
Assistant Professor
Ms. Trupti Smit Shinde
Faculty of Science & Technology

Ms. Trupti Smit Shinde
Assistant Professor
Ms. Seema Sachin Vanjire
Faculty of Science & Technology

Ms. Seema Sachin Vanjire
Assistant Professor
Ms. Aarti Surshbhai Sardhara
Faculty of Science & Technology

Ms. Aarti Surshbhai Sardhara
Assistant Professor
Ms. Vaishali Babu
Faculty of Science & Technology

Ms. Vaishali Babu
Assistant Professor
Mr. Suhas Chavan
Faculty of Science & Technology

Mr. Suhas Chavan
Assistant Professor
Prof. Ms. Gulnaz Thakur
Faculty of Science & Technology

Prof. Ms. Gulnaz Thakur
Assistant Professor
Ms Sital Dash
Faculty of Science & Technology

Ms Sital Dash
Assistant Professor
Jalaj S. Limaye
Faculty of Science & Technology

Jalaj S. Limaye
Assistant Professor
Bhagyalaxmi R. Kanchalwar
Faculty of Science & Technology

Bhagyalaxmi R. Kanchalwar
Assistant Professor
Mrs. Kanchan Jayesh Katake
Faculty of Science & Technology

Mrs. Kanchan Jayesh Katake
Assistant Professor
Richa Agnihotri
Faculty of Science & Technology

Richa Agnihotri
Assistant professor
Prof. Pallavi  M. Morey
Faculty of Science & Technology

Prof. Pallavi M. Morey
Assistant Professor
Prof. Rahul Rajendra Papalkar
Faculty of Science & Technology

Prof. Rahul Rajendra Papalkar
Assistant Professor
Vivek.S.Thorat
Faculty of Science & Technology

Vivek.S.Thorat
Assistant Professor
Sridevi Hiremath
Faculty of Science & Technology

Sridevi Hiremath
Assistant Professor
Ajit Shankar Mali
Faculty of Science & Technology

Ajit Shankar Mali
Assistant Professor
Ms. Purva Dindayal Thakare
Faculty of Science & Technology

Ms. Purva Dindayal Thakare
Assistant Professor
Divya Munot
Faculty of Science & Technology

Divya Munot
Assistant Professor
Mayuri Bharat Satpute
Faculty of Science & Technology

Mayuri Bharat Satpute
Assistant Professor
Vishakha Uday Gaikwad
Faculty of Science & Technology

Vishakha Uday Gaikwad
Assistant Professor
Mr. Harish Motekar
Faculty of Science & Technology

Mr. Harish Motekar
Assistant Professor
Prof. Ashwini Sanjay Sengar
Faculty of Science & Technology

Prof. Ashwini Sanjay Sengar
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.




  • 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 October 2024, then Rs. 1000/- will be deducted and the balance amount will be refunded.

If admission (provisional / confirmed) is cancelled after 31st October 2024, 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

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

Vishwakarma University, Main Building, Room No. 1006, Survey No. 2, 3, 4 Laxmi Nagar,

Kondhwa (Bk.) Pune - 411048.

Maharashtra, India.

Email: admissions@vupune.ac.in | connect@vupune.ac.in

Website: www.vupune.ac.in

Instagram:Vishwakarma University – VU

Facebook: @vishwakarmauniversity

Twitter: @VU_Connect

 



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