nmims


nmims

Presents

MSc. in Artificial Intelligence
and Machine Learning Ops

Knowledge Partner - INSOFE

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Delivery Mode: Online

Batch Starts: 26 April 2021

Duration: 24 months

Fee: ₹6,00,000 + 18% GST

Program Validity: 48 Months

 

Program Features

  • The 2-year Master of Science in Artificial Intelligence and Machine Learning Ops is 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
  • Reinforcement learning.
  • Includes an on campus product development boot camp to solve real industry problems via building of prototypes.
  • Students will get on campus career assistance during the 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.

Download Brochure

On Campus BootCamp

On Campus BootCamp
  • The student gets to attend an On Campus Bootcamp for a hands-on immersive learning experience.
  • Bootcamp serves as an individual session post completion of a set of core Artificial IntelligenceI and Elective courses and applying knowledge to solve real industry problems.
  • 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.

A one of a kind MSc.in Artificial Intelligence and Machine Learning Ops Program to create cutting edge business solutions.

INSOFE

NMIMS

Learning Outcomes

On Campus BootCamp
  • 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 Artificial Intelligence and Machine Learning applications.
  • Obtain hands on experience with industry prototype building and working to apply business and data thinking to complex research problems.

Program Structure

Master of Science in Artificial Intelligence and Machine Learning Ops

Electives:

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Computer Vision fundamentals and Deep learning applications

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Text Mining and NLP, Deep Learning for NLP

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Big Data: An overview of Big Data and Hadoop ecosystems

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Robotics and Autonomous systems and Reinforcement Learning

Courses

Quarter 1 – Maths & Computer Science

  • 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

  • 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

  • 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

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

Quarter 5 – AI & ML and Business

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

Quarter 7 – Computer Science & Bootcamp

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

Quarter 8 – Master Dissertation

  • 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.


Tools & Skills

The 24-month program with 8 academic terms equips you with the most coveted skills like:

Faculty

The faculty pool consists of over 50+ world class products builders, researchers and consultants scholars. These are practicing academicians & PhD holders from top Universities with 20+ years of average work experience, 75+ patents & 300+ research papers.


Institutes


nmims

NMIMS Global (NGA-SCE) is the online & executive learning arm of the SVKM’s NMIMS Deemed-to-be University. Established in 1994, the institution embarked upon the journey towards making excellent management and technology education truly accessible. 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.

insofe

INSOFE is Asia’s largest AI, Machine Learning and Data Science education and research institute. It is present in Hyderabad, Bengaluru and Mumbai in India and has partner university programs in France, USA, UK, and Canada. In addition, the institute works with global enterprise leaders extensively helping them adopt data science in their organisations.

Career Options

Post completion of the course participants can advance their careers in roles as Applied Scientists, Data Scientists and Machine Learning Engineers with data driven companies like Amazon, LinkedIn, Google among many others.


career options

Career Assistance

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.

Eligibility

Post completion of the course participants can advance their careers in roles as Applied Scientists, Data Scientists and Machine Learning Engineers with data driven companies like Amazon, LinkedIn, Google among many others.


  • This Program is for Mid-Level experienced professionals with at least 1 year of work experience.
  • Engineering (B Tech degree) or 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 OR Engineering (M Tech degree) or 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.
  • Candidates may have to go through an Online Interview Process.

 

Program Fee

Starting at 7,972 per month EMI*

INR 6,00,000/-


Payment Options


Option 1:
Full Fee Payment (in INR)

Full Fee Payment.

Option 2:
Annual Fee Payment (in INR)

Full Fees Payment with 0% EMI Option.
Processing Fee As Applicable.


  • An initial amount of Rs. 10,000/- from the program fee will be collected at the time of registration.
  • 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.
  • Admission Processing Fee : 1,500/-.
  • 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, SBI, Kotak Mahindra Bank.
 

Information Session

Information Session img

“The best way to learn about INSOFE programs is to attend the Live & Free information sessions. Our senior-most advisors and faculty explain the programs in simple and clear terms and answer your questions.

If you already know a program to study, you can call us or have us call you”

Start building a powerful career now

Post completion of the course participants can advance their careers in roles as Applied Scientists, Data Scientists and Machine Learning Engineers with data driven companies like Amazon, LinkedIn, Google among many others.

  • This Program is for Mid-Level experienced professionals
  • Engineering (B Tech degree) or 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 OR Engineering (M Tech degree) or 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
  • Candidates may have to go through an Online Interview Process.

As per NMIMS guidelines

As per NMIMS guidelines