BS Mathematics and Computational Finance
Mathematics
Undergraduate
College of Computer Sciences & Information Systems
The BS in Mathematical and Computational Finance is an applied Mathematics program with a well-developed application in Finance structured for the students who might be interested in Mathematics and desired for a career in Business. BS Financial Mathemat- ics course offers a comprehensive variety of modules across mathematics, statistics, finance, and programming. The course will empower the student to cultivate expertise in creative problem-solving and logical reasoning, to analyze market forces, minimize risk and maximize profitability, which are in great demand in a wide range of career sectors.
BS in Mathematical and Computational Finance will be a 4-year degree program with two semesters in each year. It will require the completion of 138 credit hours of course work, 6 credit hours of the project approved by the college and compulsory computational finance internship of at least 6 weeks in an approved firm. Students must take a minimum load of 12 credit hours (four courses) or a maximum load of 18 credit hours (six courses) in a semester. In order to obtain a BS degree in four years, a student is required to cover twelve courses in a year. Full load of six courses can be taken each in the Fall and Spring semesters with an option of four courses in the latter and making up the shortfall in the summer session. Students must maintain a CGPA of 2.5 for the conferment of the degree.
BS Mathematics and Computational Finance students learn to:
Learn the computational and modelling techniques used to price tradable assets such as bonds, securities, loans, energy and associated derivatives.
Learn to generate, model, value, hedge and trade ingenious financial products.
Acquire an analytical and strategic judgement for controlling the risk connected with complex financial transactions
Be equipped with the engineering-driven approaches widely used to construct and deploy the financial transactions and
processes that, in their context, function as the international financial system and capital markets.
Be provided with the educational background to pursue increasingly responsible management roles in industry.
Be prepared to enter leadership positions in the financial industry and government where they will use their quantitative skills and creativity to provide innovative solutions and develop new or improved products and services.
1. Risk Manager
2. Asset Manager
3. Financial Consultant
4. Data Scientist
5. Data Analyst
6. Data Engineer
Accounting
ACC101 Introduction to Financial Accounting
ACC201 Intermediate Financial Accounting
Communication
COM107 Academic English
COM202 Business and Professional Speech
COM203 Methods in Business Writing
Finance
FIN201 Introduction to Business Finance
FIN202 Financial Management
FIN503 Corporate Finance
FIN509 Financial Derivatives
FIN613 Financial Modeling
Mathematics
MTH102 Financial Calculus I
MTH106 Financial Calculus II
MTH204 Linear Algebra
Language
LAN 10* Foreign Language I
LAN 20** Foreign Language II
*1 = Introduction to Arabic *2 = Introduction to French *4 = Introduction to German *6 = Introduction to Italian *8 = Introduction to Chinese
**1 = Intermediate Arabic **2 = Intermediate French **4 = Intermediate German **6 = Intermediate Italian **8 = Intermediate Chinese
Religious Studies
REL101 Islamic Studies
Political Sciences
PSC301 Pakistan Studies
Statistics
STA203 Probability Theory and Statistics
STA207 Qualitative Data Analysis
STA301 Model and Inference
STA304 Quantitative Data Analysis
STA306 Applied Econometrics
Finance and Risk Management
FRM201 Principles of Risk Management
FRM401 Advance Financial Risk Management
Programming
CSC113 Programming Fundamentals
CSC213 Object Oriented Programming
CSC215 Data Structure and Algorithms
Internship
Internship related to Financial Mathematics
Project
Computational Finance Project 1
Computational Finance Project 2
Mathematics
MTH439 Introduction to Dynamical Systems
MTH437 Functional Analysis
MTH406 Finite Element Methods
MTH456 Statistical Machine Learning
MTH457 Deep Learning
MTH440 Advanced Methods for Data Analysis
MTH452 Convex and Non-Linear Analysis
MTH451 Number Theory
Finance
FIN403 Islamic Banking and Finance
FIN506 Investment Banking and Security Analysis
FIN507 Portfolio Management
FIN511 Analysis of Financial Statement
FIN512 Money and Capital Market
FIN515 Foreign Trade and Banking
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Semester One (19 Credit Hours) Islamic Studies (3+0) |
Semester Two (19 Credit Hours) Probability Theory and Statistics (3+0) |
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Semester Three (19 Credit Hours) Introduction to Business Finance (3+0) |
Semester Four (18 Credit Hours) Financial Management (3+0) |
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Semester Five (18 Credit Hours) Principal of Risk Management (3+0) |
Semester Six (18 Credit Hours) Numerical Analysis (3+0) |
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Semester Seven (18 Credit Hours) Advance Financial Risk Management (3+0) |
Semester Eight (15 Credit Hours) Fintech (3+0) |
Interested in this program? Visit the admissions page for more information.
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