M. Sc. in Artificial Intelligence and Machine Learning Ops (MSCAIML)

M. Sc. in Artificial Intelligence and Machine Learning Ops (MSCAIML)

Category:
NMIMS Programs / Artificial Intelligence / Machine Learning /
Free
nmims distance learning

Free

Artificial Intelligence Machine Learning

Overview of the Program

  • The M. Sc. in Artificial Intelligence and Machine Learning Ops is a two year distance learning program designed to create Data Science professionals for creating cutting-edge business solutions
  • The program encompasses a rigorous curriculum with a total of 7500+ learning hours including 220+ teaching hours & 212+ lab hours offered in a flexible online-blended interactive format, that works for busy professionals
  • 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
  • Includes a product development boot camp to solve real industry problems via building of prototypes
  • Students will get on campus career assistance during product development boot camp
  • 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

Structure of the Program (Duration: 2 years)

Sr. No. Subjects
1 Foundations of Probability and Statistics for Data Science
2 Data Structures and Algorithms
3 Advanced Mathematical Analysis for Data

Sr. No. Subjects
1 Essential Engineering Skills in Big Data Analytics Using R and Python
2 Statistics and Probability in Decision Modeling – 1
3 Statistics and Probability in Decision Modeling – 2
4 Advanced Data Structures and Algorithms

Sr. No. Subjects
1 The Art and Science of Storytelling and Visualization & Design Thinking – 1
2 Methods and Algorithms in Machine Learning – 1
3 Methods and Algorithms in Machine Learning – 2

Sr. No. Subjects
1 Methods and Algorithms in Machine Learning – 3
2 AI and Decision Science
3 Elective – 1

Sr. No. Subjects
1 Advanced Python Programming
2 Elective – 2
3 Business Communication and Presentation Skills for Data Analytics
4 Economics for Analysts
5 Behavior Science and Analytics

Sr. No. Subjects
1 Business Law and Ethics
2 Behavior Science and Analytics
3 Digital and Social Media Analytics
4 Product Management
4 Project Management

Sr. No. Subjects
1 Architecting Enterprise Applications and Design Thinking – 2
2 Product Deployment Bootcamp
3 Quantitative Research Methods
4 Master Dissertation

Sr. No. Subjects
1 Master Dissertation

Eligibility of the Program

  • Engineering (B Tech Degree)
  • Graduation in Maths / Computer Science / Statistics / Economics / B.Sc. Degree with Math components with minimum 50% marks at Graduation level and minimum 3 years of work experience
  • Engineering (M Tech degree)
  • Masters Degree in Maths / Computer Science / Statistics / Economics / M.Sc. Degree with Math components with minimum 50% marks at Graduation level and minimum 2 years of work experience

Contact us

Call us at +918080500400 and Press 1 or mail us at nmims@halo.co.in or WhatsApp us at +919821250123

Please Note

The below 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.

Fee Structure

  • Admission Processing Fees (One time, non-refundable): INR 1,500
  • Full Fee Payment INR 6,00,000
  • Full Fees Payment with 0% EMI Option
  • Processing Fee As Applicable

  • Admission Processing Fees (One time, non-refundable): INR 1,500
  • Program Fee per year INR 5,70,000

  • Admission Processing Fees (One time, non-refundable): INR 1,500
  • Program Fee per year INR 3,00,000
  • Annual Payment Option – Easy 0% EMI Options Available – No of Years 2
  • Processing Fee As Applicable

In addition to the Fees, the following Fees are applicable:

  • An initial amount of Rs. 10,000/- from the program fee will be collected at the time of registration
  • 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, SBI, Kotak Mahindra Bank

Knowledge Partner and Career Assistance

  • 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
  • A dedicated team of NGASCE’s career advisors shall provide one-on-one support to students in CV development, arranging interviews and other areas of placement support
  • Get job opportunities from 500+ recruitment partners from NGASCE & INSOFE
  • Get access to the NGASCE Job Portal where you can apply to unlimited job positions