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Offered by the Department of Mathematics

BSc in Financial Engineering (external) degree programme focuses on creating new financial strategies and tools used to forecast financial trends, develop financial instruments / models and establish new methods that are beneficial to businesses and organizations to make strategic financial decisions. Students pursuing this degree will learn essential Mathematics, Statistics, language and computer skills, Basic Economics and Accounting, Quantitative techniques, quantitative finance, financial modeling, risk management, corporate finance, Professional development and practices in finance.

Eligibility

GCE Advanced Level Examination (local) – Three passes in one sitting in Mathematics/ Biology/ Commerce Streams
OR

Equivalent Curriculum to local GCE Advanced Level Examination (eg: Edexcel, London A/L, Cambridge A/L, etc. ) including Mathematics as a subject
OR

Any other equivalent academic/professional qualification acceptable to the faculty and the senate

Course Fees

For Sri Lankan Students - LKR 200,000/- per year

For International Students - USD 1,200 per year

For Sri Lankans coming from a foreign territory are entitled to a 25% discount of USD 1,200

Application Fee: LKR 3,000/-

*The course fee payment is not acceptable in installments. However, local students are eligible for a student loan from the Commercial Bank of Sri Lanka.


Information for 2024 Intake Applicants

Dates to be remembered:

  • Registration of 2024 intake at CCUC: December 2023
  • Inauguration of the program for 2024 intake: 28th of January 2024
  • Commencement of the program for 2024 intake: January 2024

For Any Inquiries:

Coordinator
Prof. Sanjeewa Perera
bscfe@sci.cmb.ac.lk
+94 715 352 616

Dates to be remembered (Intake 2025)

  • Calling online application for the 2025 intake: August 01, 2024 – Fill out the waiting list
  • Application deadline for the 2025 intake: September 30, 2024
  • Interviews for the 2025 intake: October 20, 2024
  • Final list of the 2025 intake: October 30, 2024
  • Registration of 2025 intake at CCUC: December 2024
  • Inauguration of the program for 2025 intake: January 2025
  • Commencement of the program for 2025 intake: January 2025

Rationale

The drive toward financial market expansion and development suggests the need for people who are able to identify, evaluate, forecast, disseminate and provide integrated solutions to meet the needs of financial sector. “Financial Engineering” continues to be one of the fastest growing areas within modern financing/banking. Together with the sophistication and complexity of modern financial products, this exciting discipline continues to act as the motivating factor for new mathematical models and the subsequent development of associated computational schemes. Although relatively young, financial mathematics has developed rapidly into a substantial body of knowledge and established part of mathematical science. The proposed revision is designed to fulfill the demand for expertise in the drive toward financial expansion and development.

The course is structured to support all part-time external students to engage with the Lecturers in the course modules continuously. Learning Management system (LMS) is used as a self-learning assessment and evaluation mechanism.

The intellectually exciting and practical Finance course will prepare students for a range of careers in the financial analysis field within Sri Lanka and internationally. With a degree in Financial Engineering students can harness skills necessary for economic analysis, financial forecasting, and financial practice as well as for financial consultancy, advisory and financial product development/analysis.

Programme Duration

The duration of the program is 3 years. During each year, the programme is conducted over 2 semesters of 20 weeks. The courses are offered in Blended Mode. 100% of lessons and discussions are conducted online during weekends (Saturday – 2 hours, Sunday – full day).

Indented Learning Outcomes of BSc in Financial Engineering

The end of the 3 years (SLQF Level 5)   BSc in Financial Engineering Degree holders should be able to:

  • demonstrate knowledge and proficiency in the terminologies, theories, concepts, practices and skills specific to the field of finance and insurance financial product development.
  • observe and interpret financial markets to uncover potential opportunities and construct financial portfolios.
  • apply best practices in financial management to make plans, organize projects, monitor outcomes and provide financial leadership.
  • apply the Standards of Practice and Codes of Conduct of Financial Practitioners to address ethical challenges within the business environment and demonstrate intellectual maturity in a global setting.
  • practice professionalism and uphold ethical standards and improve/update skills required for employment and life-long learning.
  • effectively communicate & disseminate knowledge, information and ideas to specialist and a wider society
  • perform independently as well as interdependently

Specific Intended Learning Outcomes

Upon completion of the BSc Financial Engineering, the following criteria shall be fulfilled:

1. KNOWLEDGE

Upon completion of the BSc in Financial Engineering programme, the student should possess knowledge and understanding of the following:

  • Insight into some of the subjects fundamental to finance.
  • Basic principles, theories and applications in the field of financial mathematics.
  • Mathematical analysis common to most financial analysis disciplines, calculus, linear algebra.
    Differential equations models for finance.
  • Numerical methods and scientific computing to solve problems in calculus, differential equations, and linear algebra.
  • Basic probability theory and statistics including data analysis, error analysis, hypothesis testing and linear regression.
  • Basic understanding of financial programming in common languages and spreadsheet applications.
  • Basic principles of Economics and Accounting.

3. COMPETENCE (Attitudes, Values, Professionalism and Vision for life, Lifelong Learning)

Upon completion of the BSc programme, the student should be able to utilize the knowledge and skills he/she has acquired to:

  • Apply analytical skills and modelling methodologies to recognize, analyze, synthesize and implement operational solutions to Finance problems
  • Apply standard quantitative scientific principles to develop finance solutions to a range of practical problems in Finance
  • Appreciate the importance of keeping up with evolving industry practice technologies and technology and research, to meet expand professional competencies and industry expectations.
  • Undertake further studies towards a graduate level degrees and professional qualifications.

2. SKILLS

Upon completion of the BSc in Financial Engineering programme, the student should have gained the skills to:

2.1 Disciplinary skills

  • Quantify and model the financial structure of projects and corporations and for that purpose apply suitable techniques.
  • Design mathematical models of the financial functions of organizations and solve the formulated problems by a range of quantitative techniques, including simulation and optimization techniques.
  • Plan, manage and analyze financial and operational structures in projects, using recognized financial techniques as well as other current best-practice methods.
  • Apply the statistical methods in order to analyze and interpret data.
  • Carry out risk assessment by disciplines of risk management and decision analysis.

2.2 Personal Skills

  • Apply financial methods to projects, i.e. have the ability to assess the financial feasibility of the projects and identify the key factors in a given situation and develop an approach to a solution.
  • Formulate and work on open-ended problems, including creative thinking.
  • Apply research methodology, including the fundamentals of technical writing and information finding, including literature search.
  • Apply standard scientific principles to develop financial solutions to a range of practical problems.

2.3 Interpersonal skills

  • Develop strategic communication skills through industry-based management case studies.
  • Communicate effectively and professionally and formulate sound arguments, both in writing and by means of presentations, using appropriate professional techniques.
  • Developing team analytical negotiation skills in providing a business proposal and project plan.
  • Be an effective team member and contribute to the management of team projects by interpreting data analysis.

Programme Structure

BSc in Financial Engineering will be completed in three years (90 Credits / SLQF Level 5) and it consists of three levels.

LEVEL I: Diploma in Financial Engineering (30 Credits)

LEVEL II: Advanced Diploma in Financial Engineering (60 Credits)

LEVEL III: BSc in Financial Engineering (90 Credits)

Examination Guidelines:

LEVEL I - Diploma in Financial Engineering (30 Credits)

Course Code Course Title Credits Notional Hours Status
FE 1021 Python Programming * 2C 100 C , F , P , SS
FE 1022 Economics I for Finance * 2C 100 C , S
FE 1023 Financial Statement Analysis & Reporting I * 2C 100 C , P , SS
FE 1024 Spreadsheet Analysis * 2C 100 C , F , P , SS
FE 1025 Financial Mathematics I * 2C 100 C , F , P
FE 1026 Applied Calculus I 2C 100 C , F
FE 1027 Economics II for Finance * 2C 100 C , S
FE 1028 Scientific Computing with Python 2C 100 C , F , P
FE 1029 Data Visualization with Python * 2C 100 C , F , P , SS
FE 1030 Professional English for Finance 2C 100 C , P , SS
FE 1031 Linear Programming 2C 100 C , F
FE 1032 Introduction to Probability Theory 2C 100 C , F
FE 1033 Financial Analytics I * 20 100 C , F , P , SS
FE 1034 Computational Linear Algebra * 20 100 C , F
FE 1035 Financial Mathematics II * 2C 100 C , F , P
FE 1045 Basic Mathematics ✝* 2C 100 E , F

C – Core, F – Foundation, P – Professional, S – Supplementary, SS – Soft Skills, E – Enhancement
*Compulsory course to be eligible for Diploma in Financial Engineering
Non-GPA courses

LEVEL II - Advanced Diploma in Financial Engineering (60 Credits)

Course Code Course Title Credits Notional Hours Status
FE 2021 Probability Distributions 2C 100 C , F
FE 2022 Financial Analytics II * 2C 100 C , F , P , SS
FE 2023 Quantitative Economics I 2C 100 C , S
FE 2024 Applied Calculus II 2C 100 C , F
FE 2025 Financial Markets & Instruments * 2C 100 C , S , P , SS
FE 2026 Financial Analytics III * 2C 100 C , F , P , SS
FE 2027 Supply Chain Models 2C 100 C , S , SS
FE 2028 Quantitative Economics II 2C 100 C , S
FE 2029 Financial Economics * 2C 100 C , P , SS
FE 2030 Insurance for Financial Services * 2C 100 C , P , S , SS
FE 2031 Machine Learning in Financial Engineering * 2C 100 C , P , SS
FE 2032 Financial Statements Analysis & Reporting II * 2C 100 C , P , SS
FE 2033 Financial Economics & Analysis * 2C 100 C , P , SS
FE 2034 Quantitative Financial Risk Analysis I * 2C 100 C , P , SS
FE 2035 Survival Analysis * 2C 100 C , P , SS
FE 2045 Corporate Finance & Issuers ✝* 2C 100 C , P , E , SS

C – Core, F – Foundation, P – Professional, S – Supplementary, SS – Soft Skills, E – Enhancement
*Compulsory course to be eligible for Advance Diploma in Financial Engineering (together with Level I *)
Non-GPA courses

LEVEL III - BSc in Financial Engineering (90 Credits)

Course Code Course Title Credits Notional Hours Status
FE 3021 Investment Analysis 2C 100 C , P , SS
FE 3022 Artificial Intelligence In Financial Engineering 2C 100 C , P , SS
FE 3023 Portfolio Optimization I 2C 100 C , P , SS
FE 3024 Quantitative Financial Risk Analysis II 2C 100 C , P , SS
FE 3025 Life Insurance Models & Risk Analysis 2C 100 C , P , SS
FE 3026 Portfolio Optimization II 2C 100 C , P , SS
FE 3027 Financial Simulation Models 2C 100 C , P , SS
FE 3028 Quantitative Economics III 2C 100 C , S
FE 3029 Banking & International Finance 2C 100 C , P , SS
FE 3030 Case Studies In Financial Analytics 3C 300 C , P , SS
FE 3031 Professional Practice In Financial Analytics 3C 300 C , P , SS
FE 3032 Financial Analytics Project 6C 600 C , P , SS
FE 3033 Case Studies In Business Analysis 3C 300 C , P , SS
FE 3034 Professional Practice In Business Analysis 3C 300 C , P , SS
FE 3035 Business Analysis Project 6C 600 C , P , SS
FE 3036 Case Studies In Business Intelligence Systems 3C 300 C , P , SS
FE 3037 "Professional Practice In Business Intelligence Systems 3C 300 C , P , SS
FE 3038 Business Intelligence Systems Project 6C 600 C , P , SS
FE 3045 Ethical & Professional Standards ✝ 2C 100 C , E , SS

C – Core, F – Foundation, P – Professional, S – Supplementary, SS – Soft Skills, E – Enhancement
Non-GPA courses

Evaluation Criteria

The theory course modules will be evaluated through written examinations and/or assignments where appropriate. Laboratory course modules will be evaluated by assignments and/or semester end examinations. In some instances, course units may require a mixed mode evaluation including continuous assessments.

Certificate/Diploma/Degree Awarding Criteria

Level I – Certificate

Completion of a minimum of thirty (30) credits in Level I,

AND

Obtaining a grade not lower than C in course units aggregating to at least twenty (20) credits in Level I,

AND

Obtaining an overall GPA of 2.0 or above in Level I.

Level II – Certificate

Meet requirements for Level I Certification,

AND

Completion of a minimum of sixty (60) credits with at least 30 credits from Level II,

AND

Obtaining a grade not lower than C in course units aggregating to at least twenty (20) from Level II,

AND

Obtaining an overall GPA of 2.0 or above in Level II

Diploma (SLQF Level 3)

Completion of a minimum of thirty (30) credits of the course units in Level I,

AND

Obtaining a grade not lower than C in course units aggregating to a total of 20 credits for specified set of Level I courses indicated by * ,

AND

Obtaining an overall GPA of 2.0 or above.

Advanced Diploma (SLQF Level 4)

Completion of a minimum of sixty (60) credits of the course units in Level I and Level II,

AND

Obtaining a grade not lower than C in course units aggregating to a total of 40 credits for specified set of Level I and Level II course units indicated by * ,

AND

Obtaining an overall GPA of 2.0 or above for the sixty (60) credits for Level I and Level II course units.

Degree (SLQF Level 5)

Completion of a minimum of ninety (90) credits with at least thirty (30) credits from each of Level I, Level II and Level III.

AND

Obtaining a minimum GPA of 2.0 in course units aggregating to at least twenty (20) credits at each of Level I, Level II and Level III.

AND

Obtaining a minimum overall GPA of 2.0 in Level I, Level II, Level III taken together.

Awarding Classes

If a student satisfies the requirements for obtaining a degree within three (03) consecutive academic years of the External Degree Programme

AND

First Class: If a student has a minimum overall GPA of 3.70.

OR

Second Class (Upper Division): If a student has a minimum overall GPA of 3.30.

OR

Second Class (Lower Division): If a student has a minimum overall GPA of 3.00.

Further Information

Further information regarding the  Program can be obtained by contacting the program coordinators

The contact details of the program coordinators are as follows.

Programme Coordinator

Email: bscfe@sci.cmb.ac.lk

Coordinator/Examinations

Email: kdesilva@maths.cmb.ac.lk

Coordinator/ Learning Resources

Email: dilruk@sci.cmb.ac.lk

Coordinator/ Student Affairs and QA  Activities

Email: yashika@maths.cmb.ac.lk

Administrative Assistant

Email:bscfe@sci.cmb.ac.lk