MIT School of Computing MIT-ADT University Loni Kalbhor Pune Answered Questions

B.Tech. in CSE (Artificial Intelligence and Analytics) graduates from MIT School of Computing can work as:
* Data Engineer
* ML Engineer
* Computer Scientist
* Principle Data Scientist
* Big Data Architect
* Business Intelligence Developer
* Machine Learning Engineer
* Robotics Programmer
* Software Engineer
* Video Game Programmer
They can expect a salary of up to Rs. 22 lakh.

Placements for M.Sc. in Computer Science (Artificial Intelligence and Machine Learning) at MIT School of Computing are not explicitly mentioned in the provided output. However, the output highlights the curriculum and career opportunities for M.Sc. Computer Science graduates in India, including roles in IT companies, startups, consulting firms, and research institutions. Top companies hiring these graduates include IT companies, global companies, and startups.

Yes, private companies hire from M.Sc. in Computer Science (Artificial Intelligence and Machine Learning) at MIT School of Computing. Many Indian universities, including MIT, have strong industry connections and offer 100% placement assistance, with leading firms such as Tech Mahindra and KPIT Cummins recruiting graduates. The curriculum of the M.Sc CS programme is designed to align with international standards and includes contemporary topics such as Artificial Intelligence, Data Science, and Cybersecurity, ensuring that graduates are equipped with skills that meet global industry demands.

The college is strict when it comes to the eligibility requirements of BTech in CSE at MIT School of Computing, with requirements including passing HSC or its equivalent examination with Physics and Mathematics as compulsory subjects, and securing aggregate 45% marks. Additionally, candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025, with minimum 50% aggregate in PCM or PCB, and Physics, Mathematics/Biology, and English as compulsory subjects.

For reserved category students, the admission criteria for B.Tech. in CSE (Artificial Intelligence and Analytics) at MIT School of Computing is as follows:
- The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects.
- Secured minimum 40% marks in the subjects Physics, Mathematics, Chemistry or Biotechnology or Biology or Technical Vocational subject for Backward class categories and Persons with Disability candidates.

The college is quite strict when it comes to the eligibility requirements of BTech in CSE (Artificial Intelligence & Analytics) at MIT School of Computing. The requirements include passing 10+2 with a Science stream, having studied physics, chemistry, & math (PCM) in high school, & meeting specific percentile requirements in entrance exams such as JEE, CET, or PERA CET. Additionally, c&idates must have a good underst&ing of computer programming, probability & statistics, linear algebra, big data & spark technologies, frameworks, & algorithms. The admission process involves forwarding scanned photocopies of mark sheets to the admission mail id within 8 days of declaration of HSC/12th Board results. The tuition fee for the programme is 2,80,000 per year.

Yes, the MIT School of Computing provides placements for M.Sc. in Computer Science (Artificial Intelligence and Machine Learning). The school offers 100% placement assistance, and top recruiters include various IT companies, global companies, startups, consulting firms, and research institutions.

The required documents for eligibility verification during BTech in CSE (Artificial Intelligence & Analytics) admissions at MIT School of Computing include:
- Scanned photocopy of HSC/12th Board mark sheets
Other documents may be required based on the entrance exam results (JEE, CET, PERA CET, Uni-GAUGE, or other state CETs) & will be communicated to c&idates.

B.Tech. in Computer Science and Engineering (Big Data and Cloud Engineering) graduates from MIT School of Computing can work in various sectors including:
IT industry: Top recruiters include Tata Consultancy Services, Accenture, Capgemini India Pvt Ltd, Tiger Analytics, Genpact, LatentView Analytics, and sDataFactz.
Cloud computing: Graduates can work as cloud engineers, cloud architects, or in cloud security.
Data Science and analytics: They can work as data scientists, data analysts, or data engineers.
Software development: They can work in software development companies, designing and developing software applications.
Networking and cybersecurity: They can work in networking and cybersecurity companies, designing and implementing secure network systems.
Research and development: They can work in research and development organizations, developing new technologies and solutions.
Finance and banking: They can work in finance and banking sectors, developing and implementing financial models and systems.
Healthcare: They can work in healthcare sectors, developing and implementing healthcare information systems.
Government: They can work in government sectors, developing and implementing e-governance systems.
Education: They can work in educational institutions, teaching and developing curricula for computer Science and engineering courses.

The c&idate should pursue the Science stream with Physics & Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects to be eligible for admission to the BTech in CSE (Artificial Intelligence & Analytics) at MIT School of Computing.