University Department of
Information & Communication Technology

B.Tech. in Artificial Intelligence & Machine Learning

Program Outline


The BTech in Artificial Intelligence and Machine Learning program offers outcome based education with Choice Based Credit System. The aim of this program is to prepare a professionally competent student with technological leadership skills ready to work in a multidisciplinary work environment across the globe.

The UDICT has taken a novel initiative in changing the paradigm of education in the recent scenario of Industry 4.0. In this scenario, there is a surge in the use of “Smart” technologies i.e., cloud computing, big data analytics, networked machines and processes. Thus, there is a need for trained human resources in the domains of IoT (networked machines and sensors), Blockchain (data integrity and security), and Big Data analytics (volume, variety, velocity, veracity and value).

The program makes the students ready for positions in a wide array of industries and MNCs, as well as, opening the doors to the start-up universe. A lucid blend of fundamental and recent technologies is offered to the students for enhancing their skills for employability.

Artificial intelligence and machine learning are helping people and businesses achieve key goals, obtain actionable insights, drive critical decisions, and create exciting, new, and innovative products and services.

There are several sensors, satellites, simulators etc. which are generating several petabytes of data every hour. For such systems, the physics is understood, but the mathematical or statistical model is required to make predictions, classifications or recommendations. Artificial Intelligence and Machine Learning (AI and ML) are techniques to help a user of the data to arrive at decisions based on the black box model arrived at through these techniques. Several real- world applications of AI and ML exist, which cross the silos of a single discipline of engineering and find applications in day-to-day life as well as for sustainable and safe planning, and decision making.

The Bachelor of Technology Program intends to train the student not only on the techniques, but also on applying these techniques to several other disciplines like Civil, Mechanical, Electrical, Electronics, Chemical Engineering etc.

Vision of University Department of Information and Communication Technology


The UDICT shall establish a center-of-excellence with social and global approaches for the development of trained human resources with professional approaches to innovation, entrepreneurship, and knowledge of emergent technologies for industry and research in diverse domains.

Mission of University Department of Information and Communication Technology


The UDICT shall

    1.Empower students with human values, environment-friendly qualities and ethical
    2.Create technocrats for a sustainable growth in the industrial sector with an interdisciplinary aptitude
    3.Hone their skills for becoming experts with state-of-art knowledge in social perspectives and research directions

Eligibility conditions and requirements for admissions


1. Maharashtra State Candidate.

  • The Candidate should be an Indian National and having domicile of Maharashtra state and/or born in Maharashtra state.
  • Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and the candidate should have appeared in MGMU - CET 2022/ MHT-CET 2022/PERA CET 2022 and should obtain non zero score in MGMU - CET 2022/ MHT-CET 2020/PERA CET 2020. However, preference shall be given to the candidate obtaining non-zero positive score in MGMU - CET 2022 over the candidates who obtained non-zero score in MHT-CET 2022/ PERA-CET 2022.
  • OR
  • Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).

2. All India Candidates

  • The Candidate should be an Indian
  • Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and candidate should have appeared in MGMU - CET 2022/ JEE Mains Paper-I/ MHT-CET 2022/ PERA-CET 2022 and should obtain non-zero score in MGMU - CET 2022/ JEE Mains Paper-I/ MHT-CET 2022/ PERA-CET 2022. However, preference shall be given to the candidate obtaining non-zero positive score in JEE Mains Paper-I over the candidates who obtained non-zero score in MGMU - CET 2022/ MHT-CET 2022/ PERA-CET 2022.
  • OR
  • Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).

3. NRI* Candidate

  • The candidate should be an Indian National
  • The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks in the above subjects taken together.
  • Note: *NRI Seats are based on AICTE norms

Key Features:

  • Highly qualified and experienced faculty
  • Collaboration and industry visits with MNCs for internship/sponsored projects
  • Industry oriented subjects designed in consultation with industry experts
  • Blended learning approach
  • Guest lectures by industry experts
  • Six months internship as a part of curriculum in the last semester in relevant industry in various IT domains like
  • Artificial intelligence, Machine Learning, IoT, Blockchain, Big Data Analytics, AR VR etc.
  • Well-equipped Laboratories to undertake the projects in the domain of Artificial intelligence, Machine Learning, IoT, Blockchain, Big Data Analytics, AR VR etc.
  • Additional IT support through Innovation Incubation Research Center (IIRC) which caters to specialized computational needs to work on automotive & transport simulation projects using Advanced Driver-Assistance Systems (ADAS) machinery Studio
  • Collaboration with IIT Bombay Virtual Lab to provide virtual access to a variety of sophisticated software laboratories
  • Red Hat Academy
  • Availability of advanced skill-oriented interdisciplinary courses
  • Professional body membership by faculty and students (IEEE, CSI, ACM, ISTE)

SR.NO NAME Organization
1 Dr. S. C. Tamane Professor and HoD, UDICT, MGM University.
2 Dr. Parminder Kaur Professor, UDICT, MGMU
3 Ms. Vijaya K Ahire Associate Professor, UDICT, MGMU
4 Ms. Madhuri Kawarkhe Assistant Professor, UDICT, MGMU
5 Mr Anand Bhalve, CTO, Cadence Data Soft Pvt. Ltd. Pune, Email id: [email protected], Phone No: 9850711663
6 Dr. Xavier Chelladurai Director- HRDC & Professor, CSE, Christ University Emaild id: [email protected], Phone No: 9840128586
7 Dr. Surya Durbha Professor, CSRE, IIT Mumbai Emaild id: [email protected], Phone No: 8369258956

Industry Collaboration

Department is having interaction with many IT companies. Well-known companies from this region are having academic collaborations through Internships, MoUs and live Undergraduate final year projects. Some of the organizations are:

  • Infosys Campus Connect
  • NIBL, Aurangabad
  • UiPath Academic Alliance
  • Xento Systems Pune
  • Red Hat, Australia
  • Regal Soft India, Aurangabad
  • GeoTech GIS Training Institute & Consultancy Services, Aurangabad
  • Unnati Development and Training Centre Pvt Ltd, Aurangabad
  • Virtual Lab
  • Spoken Tutorial

Our Recruiters

SR. NO Name of the Company SR. NO Name of the Company
1 AMDOCS 18 Vodafone
2 Tech Mahindra 19 Webtech Developer
3 TATA Consultancy Services Ltd. 20 Reliance Jio
4 Infosys 21 Atos- Syntel
5 AMAZON 22 Excelsior Research Pvt. Ltd.
6 Inteliment Technologies 23 Extramarks Education India Pvt. Ltd.
7 Prototech Solution 24 JARO Education>
8 Capegemini 25 Sanveo
9 RSL Labs Software 26 ITC InfoTech
10 Dassault Systems 27 BUZIBRAINS
11 Demand Farm 28 Findability Sciences Pvt. Ltd.
12 TAVISCA Solution Pvt. Ltd. 29 Jones Lang LaSalle Incorporated or JLL
13 Wipro 30 PinClick
14 Kanerika Software Pvt. Ltd. 31 Steinmetz Integrated Software Solutions
15 Aurus Inc 32 Growth NEST Venture Capital
16 SAMSUNG R & D 33 Dhoot Transmissions Pvt. Ltd.
17 HSBC India 34 DIP Technologies


Dr. Sharvari Tamane


Dr. Parminder Dhingra


Vijaya Ahire


Sangita Bhasme


Ansari Mohsin


Madhuri Kawarkhe


Yogesh Tayade


Mayur Jadhav


Mr. Jaykumar Dhage


Shaikh Farisa Tarannum


Pratima Sukre


Dr. Ayyakkannu Selvaraj


Rashmi Kumaria Nitwane


Deepika Dubey


Aditi Jadhav


Mrs. Vrushali S. Bidkar


Ms. Pramila Vasantrao kharat


Dr.Minakshi R. Rajput


Mr. Bharat K. Chaudhari


Mrs. M. P. Gangapurwala


Mrs. Swati G. Gupta


Mrs. Jyoti Vithal Ighare


Ms.Mayuri Laxman Padghan


Mr. Jayanand Ambadas Kamble


Ms. Sushma Balaji Adsul

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Open Source Lab (FF-02)

Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Database Management System, Universal Human Values, Design of Algorithm & Analysis etc.

Laboratory Resources (Equipment):

Hardware: 12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)

Software: Windows 10, Python, Jupiter Notebook, Oracle/My Sql, Turbo C/Code Blocks, MS Office etc.


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Software Engineering Lab (FF-05)

Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Neural Network Design Logic, Database Management System, Universal Human Values, multiple Variable Calculus, Mini Project etc.

Laboratory Resources (Equipment):

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (40 Nos.)

Software:Windows 10, Python, Jupitor Notebook, Oracle/My Sql, Turbo C, Code Blocks, Anconda, Spyder, Google Collab, cuDNN, Visual Studio.


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Computer Graphics Lab (FF-06)

Description:This Laboratory is used by students for carrying out practical’s related to Multiple Varible calculus, Universal Human Values, Python Programming, IOT, Mini Project etc.

Laboratory Resources (Equipment):

Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)

Software:Windows 10, Python, Jupitor Notebook, Oracle/My Sql, Turbo C, Code Blocks, IOT Kits.


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Software Development Lab (FF-08)

Description:This Laboratory is used by students for carrying out practical’s related to Data Structures using JAVA, Multiple Variable Calculus, Python, IOT, Mini Project etc.

Laboratory Resources (Equipment):

Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)

Software:Windows 10, Turbo C, Code Blocks. JAVA, Visual Studio, Python, MS Office etc.

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Multimedia Lab (FF-09)

Description:TThis Laboratory is used by students for carrying out practical’s related to Digital Image Processing, Data Structures using Java, Machine Learning Algorithms, etc.

Laboratory Resources (Equipment):

Hardware:12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)

Software:Windows 10, Python, Jupiter Notebook, Matlab etc.

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Hardware Interfacing Lab (FF-07)

Description:This Laboratory is used by students for carrying out practical’s related to Digital Logic Design, Universal Human Values etc.

Laboratory Resources (Equipment):

Hardware:Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (05 Nos.),STLD KITS (04 Nos.)

Software:Simulators