Master of Science in Artificial Intelligence and Machine Learning Ops

DURATION : UPTO 24 MONTHS

Highlights:
1. The 2-year Master of Science in Artificial Intelligence & Machine Learning DevOps is designed to create Data Science professionals for creating cutting-edge business solutions.
2. The program encompasses a rigorous curriculum with a total of 750+ learning hours including 220+ teaching hours & 212+ lab hours offered in a flexible online-blended interactive format, that works for busy professionals.
3. Participants will gain deep technical training in the areas of core artificial intelligence methods, computational science, electives that incorporate computer vision, text mining and natural language processing, big data and robotics and autonomous systems and reinforcement learning.
4. Includes a product development boot camp to solve real industry problems via building of prototypes.
5. Students will get on campus career assistance during product development boot camp.
6. A master dissertation at the end of the program will give hands-on experience on how to use complex research-driven data and apply it to solve business problems.


On Campus BootCamp::
1. The student gets to attend an On Campus BootCamp for a hands-on immersive learning experience.
2. BootCamp serves as an individual session post completion of a set of core AI and Elective courses and applying knowledge to solve real industry problems.
3. The student will build and scale two applications/prototypes from start to finish individually using tools like Python, Docker and Git-hub.

Scholar guided Master Dissertation::

  • The last leg of the program includes a Master Dissertation spread across 20 weeks. 
  • The dissertation encourages exhaustive study & requires the student to validate research paper results and draw reasonable recommendations from the research using data, under the guidance of an assigned scholar.
  • It allows the student to gain deep technical professional experience by applying the concepts, tools and techniques learnt during the program, in developing and implementing machine learning & artificial intelligence solutions.

Knowledge Partner: INSOFE::

  • International School of Engineering (INSOFE) – one of Asia’s largest Data Science schools represents NGASCE as a knowledge partner to provide deep technical training in the field of artificial intelligence, data science & machine learning.
  • INSOFE is the world’s leading research-driven educational institution in Applied Engineering with world-renowned faculty members holding PhDs from elite international universities and having worked as CXO’s in large analytics firms.
  • 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 institute-industry.
  • In addition to training over 1000 students a year through its classroom program, INSOFE works with over 100 corporations globally to train CXO’s, mid-level managers and engineers.

Learning Outcomes::

  • Understand & solve complex machine learning problems with competencies in data mining, regression analysis, text mining, and predictive analysis.
  • Gain confidence and mastery in the entire AI algorithm development and deployment cycle (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling, evaluation and deployment).
  • Analyse & solve big data problems using engines like Apache Spark & Hadoop Ecosystem.
  • Get competencies in algorithm development and visualization tools including R, Python & Tableau and specialised advanced machine learning areas such as NLP, Big Data, Robotics & Reinforcement learning.
  • Draw strong computational and application architecture knowledge to deploy and scale AI and ML applications.
  • Obtain hands on experience with industry prototype building and working to apply business and data thinking to complex research problems.

Term1

Program Structure

M.Sc. in AI & ML Ops offers industry focused curriculum with 8 academic terms. Each course is offered 1 after the other, and completed in 15-20 days per course. 

Electives: 

  • Computer Vision fundamentals and Deep learning applications
  • Text Mining and NLP, Deep Learning for NLP
  • Big Data: An overview of Big Data and Hadoop ecosystems
  • Robotics and Autonomous systems and Reinforcement Learning

Quarter 1 – Maths & Computer Science

Courses
Foundations of Probability and Statistics for Data Science
Data Structures and Algorithms
Advanced Mathematical Analysis for Data Science

Quarter 2 – Computer Science and AI & ML

Courses
Essential Engineering Skills in Big Data Analytics Using R and Python
Statistics and Probability in Decision Modeling -1
Statistics and Probability in Decision Modeling -2
Advanced Data Structures and Algorithms

Quarter 3 – AI & ML

Courses
The Art and Science of Storytelling and Visualization & Design Thinking-1
Methods and Algorithms in Machine Learning -1
Methods and Algorithms in Machine Learning -2

Quarter 4 – AI & ML

Courses
Methods and Algorithms in Machine Learning -3
AI and Decision Sciences
Elective 1

Quarter 5 – AI & ML and Business

Courses
Advanced Python Programming
Elective 2
Business Communication and Presentation Skills for Data Analytics
Economics for Analysts
Behavior Science and Analytics

Quarter 6 – Business Courses

Courses
Business Law and Ethics
Behavior Science and Analytics
Digital and Social Media Analytics
Product Management
Project Management

Quarter 7 – Computer Science & Bootcamp

Courses
Architecting Enterprise Applications and Design Thinking-2
Product Deployment Bootcamp
Quantitative Research Methods
Master Dissertation

Quarter 8 – Master Dissertation

Courses
Master Dissertation

In the 2nd Half of Q7 and entire Q8, students will focus on the Master Dissertation which will encourage exhaustive study and require students to validate research paper results and prove those results using the guidance of an assigned scholar.

Become a Data savvy manager. The program prepares you for roles, such as

  • Marketing & Finance Strategy Manager

    Responsible for improving strategic, financial and operational decision-making across the company.

  • Business Consultant

    Provide an analysis of the existing practices of a company and make recommendations for improvements.

  • Growth Manager- Business

    Develop and execute plans to help the company acquire and retain customers, as well as upsell its products or services.

  • Business Analytics Manager

    Manage a team of data analysts to produce understandable and actionable reports gleaned from data.

  • Business Strategy Manager

    Manage business team to develop business strategies to achieve company goals through analytics.

Eligibility & Program Fee

  • Bachelor’s Degree (10+2+3) in any discipline from recognised Universities with a minimum of 55% and  3+ years of work experience.

    Or

  • Bachelor’s Degree (10+2+3) in any discipline from recognised Universities with a minimum of 55 % and Post-Graduation/Professional Degree from recognized Universities with a minimum of 55% and 2+ years of work experience.

  • Program Fee (In INR)

    4,00,000/-

  • Finance options available.
  • The University offers special incentives to our armed forces with a 20% concession on the program fee.
  • The above-mentioned fee structure is subject to change at the discretion of the University. Any payment made via Demand Draft should be made in favour of “SVKM’s NMIMS” payable at Mumbai.
  • Now avail loan facility to pay fees for the Program even without a credit card.
  • EMI Facility (3, 6, 9, 12 months) available via credit cards of the following banks: HDFC Bank, ICICI Bank, Axis Bank, Citi Bank, Standard Chartered Bank, HSBC Bank, Kotak Mahindra Bank.