M.Sc. in Artificial Intelligence and Machine Learning

M.Sc. in Artificial Intelligence and Machine Learning

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    Program Features

    Highlights:

    • A two-year M.Sc. degree course in Artificial Intelligence and Machine Learning will enhance relevant skills for a successful career in the field of Data Science
    • The updated curriculum has a rigorous course structure dispersed in a flexible interactive format suitable for working professionals
    • Students will master core topics  of artificial intelligence such as computational science, electives of computer vision, text mining, natural language processing, big data analytics, robotics, autonomous system, and reinforcement learning
    • A product development boot camp will also aid students to understand real industry-based problems and provide solutions via building prototypes. During the boot camp, students will also get the service of career assistance.
    • The M.Sc. program in AI &ML consists of a master dissertation that will further expand knowledge on how to use complex research data to solve a business problem.

     

    Outcomes:

    • The program develops competency to manage machine learning problems and imparts knowledge in the area of data mining, regression analysis, text mining, and predictive analysis
    • Students master the skills of AI algorithm development such as data understanding, data preparation, modeling, evaluation along the deployment cycle, and relevant business, analytical and mathematical skills
    • Learn the proper use of Apache Spark & Hadoop Ecosystem for big data analysis
    • Develop proficiency in algorithm development and visualization tools  such as My SQL, R, SPARK, GitHub, Python, Tableau, and other machine learning skills like NLP, Big Data, Robotics & Reinforcement learning
    • Get in-depth understanding and practical knowledge of computational and application architecture required to deploy and scale AI and ML applications
    • The program provides an opportunity for hands-on experience with building industry prototype, business applications, and data analytics related to complex research problems

     

    Knowledge partner: INSOFE

    • The knowledge partner of NGASCE for the program is the International School of Engineering (INSOFE), one of the largest Data Science schools in Asia. They partnered to provide technical training in artificial intelligence, data science, and machine learning.
    • INOSFE is the largest research-based educational institute in Applied Engineering with experienced professors holding PhDs from elite universities.
    • Over the years it has been one of the top data science schools with many academic and industry affiliations.
    • INSOFE has also collaborated with many corporations to upskill CXO’s, managers, engineers, and students via a classroom learning program

    Program Structure

    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

    Career Options

    With the right guidance and resources from M.Sc. Artificial Intelligence and Machine Learning program of NMIMS, you can carve out a successful career in AI & ML and always keep a step ahead of the market competition. Some of the career opportunities available on completion of the program are:

    • Applied Scientists

    An applied scientist is responsible for identifying problems, discovering insights, and building algorithms that leverage opportunities through the statistical model and machine learning

    • Data Scientists

    The job responsibility of a data scientist is to create various machine learning tools along with statistical analysis

    • Machine Learning Engineers

    He/she is responsible for creating algorithms related to artificial intelligence and machine learning

    Eligibility & Program Fee

    • 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 may have to go through an Online Interview Proces

     

    Option 1:
    0% Interest EMI Fee Payment (in INR)

    6,00,000/-

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

    Option 2:
    Full Fee Payment (in INR)

    5,70,000/-

    Full Fees Payment

    Option 3:
    Annual Fee Payment (in INR)

    3,00,000/-

    Annual Payment with Easy 0% EMI Options. (No of Years 2.)
    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 favor 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.

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