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Programme Overview

The BSc in Mathematics with Financial Analytics programme integrates mathematics, finance, and economics to provide students with a solid foundation in quantitative analysis and financial decision-making. Students develop the skills to analyse financial markets, assess investment risks, and apply economic theories to solve real-world financial problems. This course prepares students for roles in banking, investment analysis, financial planning, and risk management, offering graduates the expertise needed to navigate complex financial environments.

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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02

Practical Learning

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

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03

Research Opportunities

Collaborate on innovative projects with faculty and industry partners.

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04

Interdisciplinary Approach

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

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05

Career Readiness

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

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Programme Outcomes

01

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

02

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

03

Critical Thinking and Problem-Solving
Enhance analytical skills to address real-world challenges with innovative and effective solutions.

04

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

05

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

06

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

Programme Educational Objectives

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  • Combine Math and Technology

    Integrate mathematical theory with data analytics and computational skills.

  • Master Predictive Modelling

    Learn to analyse data and solve industry-specific problems.

  • Focus on Machine Learning

    Gain expertise in machine learning, AI, and statistical modelling.

  • Prepare for Data-Driven Roles

    Build skills for careers in tech, healthcare, and finance.

  • Educational Qualification: Completion of 10+2 or equivalent from a recognised board.
  • Minimum Marks: At least 60% aggregate with relevant subjects (e.g., Physics, Chemistry, Mathematics/Biology).

Mathematics with Financial Analytics

  • Quantitative Analyst
  • Risk Analyst
  • Investment Banker
  • Financial Consultant
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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