Department

Mathematics

Level

Undergraduate

Colleges

College of Computer Sciences & Information Systems

Course Detail

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.

    Eligibility Criteria

    The BS (Mathematical and Computational Finance) is a four-year program. Applicants who have successfully completed H.Sc with minimum 50% marks in Pre-Engineering or in General Group (with Mathematics) or A-Levels with a maximum 2 ‘C’s in three principal subjects (with Mathematics) are eligible to apply for admission.

  • Apply knowledge of mathematics to solve problems
  • Develop an understanding of how computational finance works
  • Formulate a mathematical model of a quantifiable system
  • Learn the computational and modeling techniques

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

Semester One (19 Credit Hours)

Islamic Studies (3+0)
Academic English (3+0)
Principles of Microeconomics (3+0) Financial Calculus I (3+0)
Introduction to Financial Accounting (3+0)
Programming Fundamentals (3+1)

Semester Two (19 Credit Hours)

Probability Theory and Statistics (3+0)
Persuasive & Analytical Writing for Business Comm. (3+0)
Principles of Macroeconomics (3+0)
Financial Calculus II (3+0)
Intermediate Financial Accounting (3+0)
Object Oriented Programming (3+1)

Semester Three (19 Credit Hours)

Introduction to Business Finance (3+0)
Introduction to Formal Mathematics (3+0)
Model and Inference (3+0)
Multivariable Calculus (3+0)
Business and Professional Speech (3+0)
Data Structure and Algorithms (3+1)

Semester Four (18 Credit Hours)

Financial Management (3+0)
Analysis I (3+0)
Qualitative Data Analysis (3+0)
Linear Algebra (3+0)
Foreign Language (3+0)
Pakistan Studies (3+0)

Semester Five (18 Credit Hours)

Principal of Risk Management (3+0)
Analysis II (3+0)
Quantitative Data Analysis (1+2)
Applied Econometrics (2+1)
Introduction to Differential Equations (3+0)
Financial Modeling (0+3)

Semester Six (18 Credit Hours)

Numerical Analysis (3+0)
Measure Theory (3+0)
Stochastic Process (3+0)
Corporate Finance (3+0)
Partial Differential Equations (3+0)
Financial Derivatives (3+0)

Semester Seven (18 Credit Hours)

Advance Financial Risk Management (3+0)
Discrete Time Finance (3+0)
Operations Research (3+0)
Finance Elective I (3+0)
Mathematics Elective I (3+0)
Computational Finance Project I (0+3)

Semester Eight (15 Credit Hours)

Fintech (3+0)
Continuous Time Finance (3+0)
Finance Elective II (3+0)
Mathematics Elective II (3+0)
Computational Finance Project II (0+3)

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