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Programme Overview

The MSc in Mathematics with Data Science programme offers advanced studies in mathematics, statistics, and data analytics, with a strong focus on industry applications and research. The course covers a wide range of topics, including machine learning, data mining, statistical modelling, and computational mathematics, ensuring that students are equipped to handle complex data-driven problems. Graduates of this programme are highly sought after in sectors such as finance, healthcare, tech, and research, where data-driven decision-making and analytical expertise are in high demand.

Programme Educational Objectives

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  • 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.

Why Choose IILM University for Basic and Applied Sciences?

01

Industry-Focused Curriculum

Programmes designed to meet the needs of emerging fields.

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Practical Learning

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

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Research Opportunities

Collaborate on innovative projects with faculty and industry partners.

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Interdisciplinary Approach

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

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Career Readiness

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

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Programme Outcomes

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Develop a strong foundation in scientific principles and specialised knowledge in chosen fields.

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Gain hands-on experience through laboratory work, field studies, and industry-oriented projects.

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Enhance analytical skills to address real-world challenges with innovative and effective solutions.

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Cultivate the ability to conduct independent research and contribute to advancements in science and technology.

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Equip students with the technical and professional skills required for successful careers in industry and research.

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Understand the ethical and global implications of scientific work, with a focus on sustainable practices.
  • 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

"IILM University’s MBA programme was truly transformative. The faculty’s real-world insights made learning highly practical and relevant. Personalised mentoring and career support aligned my goals with industry needs, while the vibrant campus life and networking opportunities enriched the experience. IILM equips you with the skills to thrive in the corporate world."
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Gurtej ChawlaAssociate Vice President

MBA 2006-08Xceedance Consulting
Private Limited

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