Frequently Asked Questions

The MSc Mathematics with Data Science is a two-year postgraduate program (4 semesters) that combines advanced mathematics, statistics, and computational techniques for data analysis and machine learning.

Graduates can work as Data Scientists, Machine Learning Engineers, Quantitative Analysts, Business Analysts, and Statistical Modelers in tech companies, financial firms, healthcare, and research organizations.

Yes, many universities offer internships, industry collaborations, and placement support in IT companies, finance, healthcare analytics, and AI-driven industries.

Graduates are in demand in technology, finance, healthcare, research, and consulting. Top employers include AI firms, banks, analytics firms, government research organizations, and global MNCs.

Why Choose IILM University for Basic and Applied Sciences?

01

Industry-Focused Curriculum

Programmes designed to meet the needs of emerging fields.

02

Practical Learning

Hands-on training in state-of-the-art laboratories.

03

Research Opportunities

Collaborate on innovative projects with faculty and industry partners.

04

Interdisciplinary Approach

Blend of science, technology, and analytics for holistic development.

05

Career Readiness

Prepare for diverse roles in industries such as finance, research, technology, and sustainability.

Programme Outcomes

01
Develop a strong foundation in scientific principles and specialised knowledge in chosen fields.
02
Gain hands-on experience through laboratory work, field studies, and industry-oriented projects.
03
Enhance analytical skills to address real-world challenges with innovative and effective solutions.
04
Cultivate the ability to conduct independent research and contribute to advancements in science and technology.
05
Equip students with the technical and professional skills required for successful careers in industry and research.
06
Understand the ethical and global implications of scientific work, with a focus on sustainable practices.

Programme Educational Objectives

  • Advance Data Science Skills

    Focus on statistical modelling, machine learning, and data analytics.

  • Solve Complex Problems

    Use computational mathematics to tackle real-world challenges.

  • Explore Industry Applications

    Apply knowledge in finance, tech, and research sectors.

  • Prepare for Research Leadership

    Gain expertise for high-demand roles in data-driven decision-making.

SEAL YOUR SPOT FOR SUCCESS

  • Educational Qualification: Bachelor’s degree in a relevant field from a recognised university.
  • Minimum Marks: At least 50% aggregate in the qualifying degree.

Mathematics with Data Science

  • Data Scientist
  • Machine Learning Engineer
  • Research Analyst
  • Business Intelligence Specialist
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Alumni Speaks

"

My MBA at IILM equipped me with essential business and corporate skills that helped me excel professionally. Case studies, group discussions, and grooming sessions with brilliant peers shaped me into a lifelong learner. Transitioning from a non-finance background to a finance enthusiast was possible due to IILM’s well-designed curriculum. Grateful to call IILM my Alma Mater!”

Anita Ahuja Senior Vice President

MBA 2008-10 Citibank, Singapore

"

As a proud gold medallist of my batch, I had the privilege of dedicating over a decade to Deloitte Consulting. My time at IILM was truly transformative, shaping both my career and personal growth. Returning to campus for the alumni meet was a nostalgic and heartwarming experience.”

Shillaza Girdhar Director - Human Resources

2004-06 Engineering & Consulting Services

"

My MBA at IILM equipped me with essential business and corporate skills that helped me excel professionally. Case studies, group discussions, and grooming sessions with brilliant peers shaped me into a lifelong learner. Transitioning from a non-finance background to a finance enthusiast was possible due to IILM’s well-designed curriculum. Grateful to call IILM my Alma Mater!”

Harbinder Narula Businessworld

1994-96 Healthcare/Wellbeing