Graduate with a Degree from
University of London
Master data science and business knowledge with the Graduate Diploma in Data Science.
Graduate with a Degree from
University of London
Academic Direction by
London School of Economics
Duration
1 Year
Study an LSE Curriculum: Study the same curriculum that’s taught at LSE. Additionally, LSE faculty develops study material & sets examination papers for ISBF students.
Carve your Career Ahead: The GD serves as a perfect stepping stone for 1-year Master’s programmes at top universities & is also accepted as the 16th year of education by universities in USA & Canada
Placements in India & Abroad: Students have been placed with top companies like EY, KPMG, Accenture, Moody’s Analytics & more.
Hands-on Learning: Participate in capstone projects & attend skill workshops covering technical tools (Excel, Stata, R, Python).
International Work Permit: Get a 1-year international work placement in London and New York with leading investment banks.
The academic session for this programme will start with two weeks of Foundation Courses in Applied Mathematics, Logic and Statistics.
Study a curriculum designed by LSE faculty
Get a 1-year work permit in London or New York
Get a chance to attend summer school at LSE
Attend guest lectures hosted by industry professionals
Machine Learning
Sampling and resampling
Classification
Nonlinear models – Gaussian process regression
Linear regression – high dimensions and regularisation
Bayesian inference
Support Vector Machines
Tree-based methods and Random Forests
Unsupervised learning – Principal Components Analysis and Clustering
Software: R. Python offered as optional learning
Business Analytics, Applied Modelling and Prediction
Decision-making under uncertainty
Univariate data visualisation
Probability distributions in business applications
Decision trees
Sampling and sampling distributions
Hypothesis testing
Regression analysis
Time series analysis and forecasting
Optimisation methods
Monte Carlo simulation models
Software- MS Excel, Tableau
Information Systems Management
Role of technology in organisations
IT and business strategies
Project management
Outsourcing
ICT governance
E-business
Enterprise Resource Planning (ERP) systems
Managing Business Intelligence and Big Data
Knowledge management
Elements of Econometrics
Classical regression model
Gauss-Markov conditions
Specification and transformation of variables
Heteroscedasticity
Simultaneous equations estimation
Binary choice models
Maximum likelihood estimation
Panel data
Time series regression
Software- STATA
Apply your learnings to solve a multi-disciplinary problem and present your work.
Run an E-Commerce business, build a website & compete for
revenue to learn more about:
Learn tools like Excel, Stata, R and Python hands-on and get exposure to areas like policy-making, investing and entrepreneurship.
Students are trained in research skills and methodology, and also given an opportunity to work on research projects with faculty members.
Curated and updated continuously by LSE, this is a rich virtual repository of learning resources, course updates, discussion forums and also access to the online UOL Library.
After the programme, you can choose to study further or get work experience in your domain of choice
Every year 2 students get an opportunity to attend a 2-day, on-site, specially curated Bootcamp at BSE in Mumbai.
Become a part of student-run clubs & host activities across media, music, dance & more
Being students of University of London, all ISBF students are invited to attend the UOL convocation in London.
The Aryabhatta Scholarship
Eligibility: Candidates with exceptional performance in iGDET & PI & financial need is assessed through last two year’s ITR.
Scholarship: 25% of the tuition fee
The Chanakaya Scholarship
Eligibility: Candidates with exceptional academic performance in their first year & who also have 95%+ in ICSE/CBSE Board exams or 40+ in the International Baccalaureate.
Scholarship: 20% of the tuition fee
The Vivekanand Scholarship
Eligibility: Candidates with exceptional academic performance in their first year & who also have at least 90% but <94.99% in ICSE/CBSE Board exams or min. 35 but <40 points in the International Baccalaureate.
Scholarship: 15% of the tuition fee
Talk to ISBF’s admissions’ team to understand if you are a good fit for this programme.
What is the eligibility criteria to apply for the programme?
To pursue this programme, students must have completed an undergraduate degree, preferably in a quantitative discipline, and have had Mathematics in school up to Class XII. There is no other stream or subject-related eligibility criteria.
What is the admission process for the programme?
Admission to ISBF is a 3-step process. The first step is to fill out the application form with all the required details. Next, you have to appear for the ISBF Entrance Test (iGDET). Finally, the shortlisted students will have to appear for a Personal Interview.
Is it necessary to write the iGDET test?
Exemption for the iGDET can be on the basis of:
If a candidate has -
What all foundation courses are included in this programme?
Foundation courses such as R, Python and Statistics are included in the programme.