Program Image

Program Outline

In the last few years, drastic changes have taken place in the field of Artificial Intelligence and Data Science. These changes have revolutionized the life of masses. The Department of Electronics and Telecommunications Engineering has designed a unique program of B.Tech. (Artificial Intelligence and Data Science) approved by All India Council for Technical Education (AICTE), New Delhi. This program not only develops the industry needed expertise in the chosen domain but also helps to acquire a professional attitude, effective communication skills, leadership qualities, management skills and an ability to use engineering expertise for solving social issues using Gandhian philosophy.

Fees Structure

ParticularsAmountRemarks
Tuition Fees₹200000/-Yearly
Application Form & MGMU-CET₹2000/-One Time
Examination Fees₹5000/-Yearly
Student Activity₹2000/-Yearly
UMIS & Student Insurance₹3000/-One Time
Caution Money Deposit₹5000/-Refundable
Eligibility Fees₹5000/-One Time
Alumni Association Membership fees₹2000/-One Time

Program Outcomes

Foundational Knowledge in AI and Data Science

Graduates will possess a solid foundation in the principles and techniques of artificial intelligence and data science.

Machine Learning and Statistical Analysis Skills

Acquire expertise in machine learning algorithms, statistical analysis, and data mining techniques for extracting insights from large datasets.

Deep Learning Proficiency

Develop skills in deep learning methodologies, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs), for complex pattern recognition and prediction tasks.

Data Visualization and Interpretation

Gain proficiency in data visualization tools and techniques to effectively communicate insights and trends derived from data analysis.

Natural Language Processing (NLP) Understanding

Graduates will be skilled in natural language processing techniques for analyzing and understanding human language data.

Big Data Technologies Knowledge

Acquire knowledge of big data technologies such as Hadoop and Spark for processing and analyzing large-scale datasets efficiently.

Ethical and Responsible Data Handling

Cultivate a commitment to ethical and responsible data handling practices, including privacy protection and bias mitigation in AI and data science applications.

Interdisciplinary Collaboration

Develop effective collaboration skills through participation in multidisciplinary projects, reflecting the interconnected nature of AI and data science with other fields.

Eligibility

First Year Admission 2026-2027

Students reporting to JNEC for admission have to submit the following original documents.

  • MGMU-CET 2026/ MHT-CET 2026/ PERA CET 2026 / JEE (Main) Paper-I 2026 Score Card
  • HSC mark sheet.
  • Transfer certificate (T.C.)
  • Indian nationality certificate/ Domicile Certificate
  • Students passing 12th class from board outside Maharashtra region should submit Migration certificate (original) from the concerned board.
  • A photocopy of Aadhar card.

For Reserve Category Students:

  • Caste certificate (Original).
  • Caste Validity Certificate (Original)
  • Non-Creamy Layer Certificate (VALID UPTO 31ST MARCH 2026) Original (For OBC, SBC, VJ, NT-1, NT-2, NT-3 students.)

For NRI Category Students:

  • NRI Certificate of the Candidate OR of his/her Mother or Father OR the real brother/real sister ordinarily residing abroad OR NRI certificate of the persons having blood relation with the student who consider such student as ‘Ward’ viz-real brother/sister of father OR real brother/sister of Mother OR father/mother of father OR father/mother of Mother OR 1st degree paternal/maternal cousins, ordinarily residing abroad and should have looked after the candidate as guardian with documentary evidence & affidavit in support of the aforesaid facts. Parents CDC (Continuous Discharge certificate) if claimant is Merchant Navy employee.
  • Affidavit of candidate/sponsor disclosing his full identity i.e. full name, age, residence, occupation, relationship with candidate duly signed by the Candidate/parents/sponsor.
  • Passport, Nationality Certificate of sponsor
  • Residence of NRI, Valid VISA of sponsor
  • Proof of residence i.e. Driving Licence, Telephone Bill, Property Tax copy, IT return copy of sponsor
  • Proof of residence showing minimum 182 days of stay of sponsor in abroad for the academic year of admission, prior to the admission date
  • True copy of foreign bank account passbook (copies of main page indicating bank name & address, sponsor name & address, with entries of last preceding 6 months prior to admission)
  • Affidavit of family chart duly signed by sponsor making clear relationship
  • Leaving certificates, Birth extracts, mark sheets, PAN Card, Passport, Marriage Certificate of all members shown on family tree/chart.
  • Eligibility Certificate from the Association of Indian Universities, New Delhi (AIU) if candidate passed Qualifying examination from abroad.
  • Statement of Marks or Certificate of Passing Qualifying / Equivalent Examination.

Career Prospects

Data Scientist
Data Scientist
Machine Learning Engineer
Machine Learning Engineer
AI Research Scientist
AI Research Scientist
Data Engineer
Data Engineer
Deep Learning Engineer
Deep Learning Engineer
Cybersecurity Data Analyst
Cybersecurity Data Analyst

Admission Procedure

Step

1

Register on admissions.mgmu.ac.in

Step

2

Fill Application Form

Step

3

Receive entrance test link for MGMU CET (Date will reflect on Student Dashboard / Website)

Step

4

Appear for MGMU CET

Step

5

Check Merit List on Dashboard

Step

6

Verification and Submission of Documents

Step

7

Fees Payment

Step

8

Welcome to MGMU

Teaching Faculty

Faculty NameDesignation
Dr. Sunil N PawarHOD
Mr. Faisal I ShaikhAssociate Professor
Dr. Vandana B MalodeAssociate Professor
Mr. Vishwashri A KulkarniAssociate Professor
Mr. Suresh A AnnadateAssociate Professor
Dr. Vijayshree A MoreAssociate Professor
Dr. Girish R BasoleAssistant Professor
Ms. Aruna P PhataleAssistant Professor
Dr. Aarti R SalunkeAssistant Professor
Dr. Chhaya S KhandelwalAssociate professor
Mr. Sumedh D. JadhavAssistant Professor
Mr. Mrudula A MulayAssistant Professor
Dr. Sushama D. GavarskarAssistant Professor
Mr. Manesh K PawarAssistant Professor
Ms. Prajakta B MurmudeAssistant Professor
Mr. Aniket G PatilAssistant Professor
Ms. Pratibha P PatilAssistant Professor
Mr. Vishal J LipneAssistant Professor
Mr. Rohit Limbraj MudbeAssistant Professor

Department Infrastructure

Programming Lab 1

Programming Lab 1

Programming Lab 2

Programming Lab 2

Data Science Lab

Data Science Lab

System Software Lab

System Software Lab

Industry Collaboration

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