SLIIT’s Financial Mathematics degree equips students with strong quantitative, analytical, and statistical skills tailored for the financial industry. The program blends theory with real-world data analysis to shape future financial experts. With a UGC-approved BSc (Hons) in Financial Mathematics and Applied Statistics, students gain a solid foundation in financial modeling, risk analysis, and programming. The curriculum aligns with industry needs, enabling careers in banking, insurance, investment, and data-driven sectors. Experienced lecturers, modern computational labs, and practical exposure prepare students to thrive in competitive global markets. Graduates are equipped with the analytical and technical capabilities demanded by finance and analytics-based careers.
Industry Aligned
Curriculum Structure
Meets current financial analytics demands.
Industry Aligned
Curriculum Structure
Meets current financial analytics demands.
Career Ready
Finance Sector Focus
Banking, insurance, and analytics pathways.
Quant Focus
Strong Numerical Skills
Emphasis on modeling and computing.
Recognized Globally
UGC-Approved Degree
Applicable skills for worldwide finance careers.
We provide best for our students
Hi, I’m Sachini Wickramage. Today is a very special moment for me as I receive a Merit Award along with a First Class Honours degree in Business Administration, specialized in Accounting and Finance. I joined SLIIT right after my A/Ls, and it has been an incredible journey. SLIIT provides a great learning environment with highly qualified and experienced lecturers who helped us develop both academic and professional skills. Thanks to this strong foundation, I’m now working at a leading shipping company under the Ceyline Group. I’m truly grateful to my lecturers, parents, and friends for their constant support, and I warmly congratulate all my batchmates on their achievements.
FAQs
SLIIT offers a UGC-approved BSc (Hons) in Financial Mathematics and Applied Statistics.
Graduates can work in banking, investment, insurance, risk management, or data science roles.
Yes, students gain hands-on experience through case studies, labs, and data-based projects.
Yes, the strong quantitative and statistical base supports entry into analytics and data science careers.