Gain deep technical training in the areas of core artificial intelligence methods.
Understand and solve complex machine learning problems with structured and unstructured data.
Develop knowledge of business aspects that are important for solving and implementing data science solutions.
The learning outcomes for the student will be:
Confidence and mastery in the entire AI algorithm development (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling and evaluation).
Competency in algorithm development and data visualization tools including R, Python and Tableau
Hands on experience with building and applying learning to simple and complex projects involving structured and unstructured data.
The program has 4 academic terms including an industry-focused curriculum.
Quarter 1: Mathematics, Computer Science and Business
Foundations of Probability and Statistics for Data Science
Digital and Social Media Analytics
Business Communication and Presentation Skills for Data Analytics
Essential Engineering Skills in Data Analytics Using R and Python
Quarter 2: AI & ML
The Art and Science of Storytelling with data Visualizations
Statistics and Probability in Decision Modeling -1
Statistics and Probability in Decision Modeling -2
Hands-on Data Science Project 1
Quarter 3: Business and AI & ML
Behavior Science and Analytics
Methods and Algorithms in Machine Learning -1
Quarter 4: AI & ML and Business
Methods and Algorithms in Machine Learning -2
AI and Decision Sciences
Hands-on Project 2 (AI & ML)
Economics for Analysts
Tools & Skills
The 12-month program with 4 academic terms equips you with the most coveted skills like:
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.
Post completion of the course participants can advance their careers in roles as Data Scientists and Machine Learning Scientists with data driven companies like Amazon, LinkedIn, Google among many others.
Eligibility & Program Fee
Mid-Level experienced professionals with preferably 2 yrs. of work experience.
Engineering (B Tech degree) or graduation in Maths/Computer Science/Statistics/Information Technology/Economics/M.Sc. Degree with Math components with minimum 50% marks at graduation level.
Option 1 : Full Fee Payment (in INR)
3,25,000/- Full fee payment
Admission Processing Fee : 1,200/-
Option 2 : Semester-wise fee payment (in INR)
1,75,000/- Program fee per semester
Admission Processing Fee : 1,200/-
No. of Semester 2
An initial amount of Rs. 5,000/- from the program fee will be collected at the time of registration.
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.
In addition, Students need to pay an examination fee of Rs 600/- per subject.
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
Program Structure and curriculum are subject to change at per the discretion of the University
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.