NMIMS MSC Artificial Intelligence and Machine learning Ops


Did You Know?

According to LinkedIn, 7 out of 10 jobs in India are now tech-focused roles hinged on AI/ML, with ML Engineer being the top job in the list.

The number of companies setting up dedicated AI teams in India is increasing by about 30% year on year.

48% of professionals in this field have a master's/post graduate degree.

About NMIMS

SVKM's NMIMS was founded in 1981 and by 2003 was awarded the Deemed to be University status. We follow the KSA model for our youths to achieve success in their fields of work, and this year we launched the M.Sc in AI/ML Ops to develop the nation's most well-known and equipped data scientists.

The program encompasses a rigorous curriculum with a total of 750+ learning hours including 220+ teaching hours & 212+ lab hours offered in a flexible blended interactive format that works for busy professionals.

Our Achievements

Faculty
750 full-time faculty members
Campuses
8 campuses across India
Schools
18 multidisciplinary schools across engineering, commerce, management and more
Specialization
Center of excellence in analytics and data science

Accreditations

UGC Status
Category 1 Autonomy by UGC
NAAC Rating
A+ by NAAC, AICTE approved
International
AACSB Accreditation

Program Details

Program
2-year M.Sc in AI/ML Ops
Eligibility

Option 1: B.Tech/Bachelor's Degree in Maths/Computer Science/Statistics/Economics/Science with Maths Component with a minimum of 50% and 3 years of Work Experience.

Option 2: M.Tech/Master's Degree in Maths/Computer Science/Statistics/Economics/Science with Maths Component with a minimum of 50% and 2 years of Work Experience.

Major Specialization
Artificial Intelligence and Machine Learning Operations

Learning Methodology

Rigorous and holistic curriculum: Industry-focused curriculum offered in a flexible blended interactive format that works for busy professionals.

Program Structure:

  • 24-months program duration with 48-months program validity
  • Monday to Thursday: 2 hours lecture per day
  • 8 academic terms (quarters)
  • 15-20 days per course
  • 1 course at a time
  • 100 credits program
  • 750+ Learning hours (220+ teaching hours + 212+ Lab hours)

On-Campus Bootcamp: Hands-on immersive learning experience which will include an opportunity to solve real industry problems and build a prototype.

Master's Dissertation: Encourages exhaustive study and requires students to validate research paper results using real data under the guidance of an assigned scholar.

Study Material

Format

• e-books

• PDFs

• Case studies

• On-campus workshops

Examination System

Evaluation

The M.Sc. (AI & ML Ops) evaluation takes a holistic approach that allows students to apply knowledge via multiple routes:

  • Internal assessments (60% weightage)
  • Term-end exams (40% weightage)
  • Bootcamp (viva, presentation, practical)
  • Master's dissertation

Career Services

Support

A dedicated team of career advisors provides one-on-one support in CV development, interview preparation, and placement support.

Access to 500+ recruitment partners from NGASCE & INSOFE.

Get access to the NGASCE Job Portal with unlimited job positions.

Career Opportunities

Post completion, participants can advance their careers as Applied Scientists, Data Scientists, and Machine Learning Engineers with data-driven companies like:

Amazon, LinkedIn, Google, Uber, SBI, HDFC, Target, Honeywell, Capgemini, Flipkart, Ericsson, Rakuten, Tesco, and many others.

Connect With Us

To connect with career counselors:

https://executivembacolleges.com/

Or call us on: +91-8336889553

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Arun Gupta
CEO of EduKyu

A seasoned expert with 11 years of experience in creating impactful content on distance education and online MBAs. Over the years, I have elevated EduKyu into a top platform, bridging students with universities for comprehensive and accessible higher education.

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