About M.Sc. (AI & ML Ops)
The 24-month (8-term) Master of Science in Artificial Intelligence and Machine Learning Ops is designed to provide deep technical training to the student in the field of Machine Learning and Artificial Intelligence. Join this program so you can:
- Understand and solve complex machine learning problems with
- Programming language skills in Python, R, and Tableau to be able to synthesise large unstructured data sets
- Competencies in data mining, regression analysis, text mining, and predictive analytics
- Deploy and Scale AI and ML applications
- Concepts and skills in machine learning to prepare you to build, tune, and discover actionable insights from predictive models
- Specialise in Advanced Machine Learning areas like Computer Vision, NLP, Big Data, Robotics, and Reinforcement Learning

NMIMS + INSOFE
2 educational giants with corporate recognition

750+ hours of learning

200 Hours of Master Dissertation

On-campus bootcamp to build 2 prototypes
Equip yourself with the most coveted skills like:

R

Python

Tableau

Apache spark

Hadoop

NLP

Robotics
Program Structure
8 academic terms, 1 course at a time, 15-20 days per course, Monday to Thursday: 2hrs online lectures per day
Term 1
Mathematics and Computer Science
Fundamentals of Probability & Statistics, and computer science
Term 2
Computer Science and AI & ML
Probability in Decision Making, Essential programming and Advanced Data Structures
Term 3
AI & ML
Storytelling with Data and Visualization, Design thinking and Algorithms in Machine Learning
Term 4
AI & ML
Advanced AI and ML concepts, Production ready AI/ML coding, Neural Nets and 1st Elective
Term 5
Computer Science, AI & ML, and Business
Advanced Python Programming, 2nd Elective, Complementary business modules of the program
Term 6
Business Courses
Complementary business modules of the program continued
Term 7
1 Week On-campus Bootcamp
Product development bootcamp to solve real industry problems
Term 8
1 Master Dissertation
One scholar-guided hands-on Master Project
Elective 1
Computer Vision fundamentals and Deep learning applications
Elective 2
Text Mining and NLP / Deep Learning for NLP
Elective 3
Big Data: An overview of Big Data and Hadoop ecosystems
Elective 4
Robotics and Autonomous systems and Reinforcement Learning
Faculty
Faculty from INSOFE & NMIMS GLOBAL ACCESS unite to provide world-class education
Get Career Assistance

- Get access to NMIMS Global Access job portal to support placement activities
- Get access to 500+ top hiring partners of NMIMS Global Access & INSOFE
- Apply to unlimited job positions through the portal till the end of program.
- Gain CV & interview assistance

Be Sought After
Estimated value of the Global Machine Learning market by 2024
Growth in demand for Data analysis skills to grow by 2026
AI and Machine Learning Professionals
Data Scientists, Data Engineers and Business Analysts are among the most sought-after positions today. With every industry looking to apply AI, Machine Learning, and Data Science in their domain, the skill is becoming the brain behind business intelligence.
Artificial Intelligence professionals will be needed by 2021 globally
Growth in demand for Artificial Intelligence skills
Value of the Global Machine Learning market
Annual Employment Growth Rate for AI engineers between 2018-2023
Growth in demand for Deep Learning skills
Admission

Eligibility criteria
- This Program is for Mid-Level experienced professionals
- Engineering (B.E. or B Tech degree) or Bachelor’s/Master’s Degree with Math components with minimum 50% marks.
- Candidates are expected to have basic knowledge of programming that may include some of the following components-
- Concepts such as looping and iteration (such as while and for loops).
- Branching (if-then-else constructs).
- Functions and recursion.
- Should have written simple programs that use these constructs.
- Candidates may have to go through an Online Interview Process.

About NMIMS Global Access
NMIMS Global Access (NGA-SCE), the blended & ODL learning arm of the SVKM’s NMIMS Deemed-to-be University, is India’s top Ed-tech University. The institution was founded in 1994 with an aim to provide distance education and in 2013 began the journey towards online learning making it a truly accessible university that is changing the dynamics of higher education delivery in India. With a focus on incremental innovation, the institution is unique in its approach as it uses technology across all aspects of functioning and learning delivery.
About INSOFE
With a lineage of about a decade, International School of Engineering (INSOFE) is amongst Asia’s largest data science/big data analytics schools. INSOFE is the brainchild of veteran scholars and academicians Dr. Dakshinamurthy V Kolluru, Dr. Sridhar Pappu, and A S L Ganapathi Kumar, and boasts of pre-eminent team of data scientists. It has routinely ranked amongst the top data science schools in the country and has academic affiliations with several high-ranking Indian and International Universities and several prominent institutes. INSOFE also does high-end consulting globally for product, consulting, and services companies in various domains, helping them build their Centres of Excellence in the space of Big Data and Analytics.
NMIMS EDGE


Accredited by NAAC with Grade A+

Granted Autonomy Category 1 by UGC

NGA-SCE holds a strong national presence with regional offices in Mumbai, Delhi, Chandigarh, Ahmedabad, Navi Mumbai, Pune, Bangalore, Hyderabad, Kolkata & Indore

Flexible Fee Payment options with EMI facility

Dedicated student support team to manage all queries