MASTER OF TECHNOLOGY IN FINANCIAL ENGINEERING

MASTER OF TECHNOLOGY IN FINANCIAL ENGINEERING

The Master of Technology Degree in Financial Engineering seeks to further advance knowledge and skills in the design, development and implementation of innovative financial instruments and processes in solving challenges in finance. Financial Engineering’s growth as a discipline has been fuelled by an active corporate community with asset management companies, insurance companies, and some advanced corporate treasury departments leading the pack. Long-term outlooks in the financial services industry suggest a trend toward ever more quantitative analysis and methods. The development and creative application of financial theory and financial instruments is thus key in structuring solutions to complex financial challenges and to exploit financial opportunities; given the dynamic environment that characterizes today’s financial services industry. The programme is designed to provide a broad understanding in the application of engineering methodologies and quantitative methods to finance through equipping students with in-depth operational skills in the design, analysis and construction of financial solutions to meet the needs of enterprises/economies.

Intended Learning Outcomes (ILO)

Upon completion of the programme, graduates must be able to develop;

  • Innovative financial solutions that meet the needs of enterprises and economies both locally and internationally.
  • Knowledge of theoretical and practical understanding in the formulation, implementation, and evaluation of financial models and systems.
  • Modern financial instruments for use in the financial markets.
  • Advanced techniques for use financial engineering i.e. data analytics, product structuring, programming, numerical analysis, statistics, financial economics, risk management, corporate financial engineering, and investment management strategies.
  • Create employment through application of acquired technopreneurial skills
1.1.1.1.1     Programme Structure

Course Code

Course Narration

Directed Learning

Self-Study Time

Scheduled Assessment

L-T-P

Total

Credits

BFE7101

Advanced Financial Econometrics

48

96

16

2-0-2

160

16

BFE7102

Stochastic Calculus for Finance

48

96

16

2-0-2

160

16

BFE7103

Global Financial Markets

48

96

16

2-2-0

160

16

BFE7104

Lab I: Data Analysis for Financial Engineering

46

94

20

0-0-4

160

16

Electives (choose one)

BFE7105

Fixed Income Securities and Interest Rate Modelling

48

96

16

2-2-0

160

16

BFE7106

Actuarial Models

48

96

16

2-2-0

160

16

BFE7107

Investment Banking

48

96

16

2-0-2

160

16

       Total

 

 

 

 

 800

80

 

Course Code

Course Narration

Directed Learning

Self-Study Time

Scheduled Assessment

L-T-P

Total

Credits

BFE7201

Quantitative Risk Management

48

96

16

2-2-0

160

16

BFE7202

Numerical Analysis in Finance

48

96

16

2-0-2

160

16

BFE7203

Computational Methods in Derivatives Pricing

48

96

16

2-0-2

160

16

BFE7204

Lab II: Financial Analytics and Big Data in Finance

46

94

20

0-0-4

160

16

BFE7205

Research Methodology

48

96

16

2-0-2

64

16

 

 

 

 

 

 

 

 

Electives(Choose one)

BFE7206

Credit Risk Modelling

48

96

16

2-2-0

160

16

BFE7207

Advanced Corporate Financial Engineering

48

96

16

2-2-0

160

16

BFE7208

Behavioural finance

48

96

16

2-2-0

160

16

       Total

 

 

 

 

 840

96

 

Course Code

Course Narration

Directed Learning

Self-Study Time

Scheduled Assessment

L-T-P

Total

Credits

BFE8101

Advanced Portfolio Engineering

48

96

16

2-2-0

160

16

BFE8102

Optimization Models and Methods in Finance

48

96

16

2-0-2

160

16

BFE8103

Advanced Object Oriented Programming in Financial Engineering

48

96

16

2-0-2

160

16

BFE8104

Seminar

6

14

20

2-0-2

40

4

HIT800

M-Tech Dissertation -Phase I

20

840

40

0-0-40

300

30

       Total

 

 

 

 

 1444

82

 

Course Code

Course Narration

Directed Learning

Self-Study Time

Scheduled Assessment

L-T-P

Total

Credits

HIT 800

M-Tech Dissertation -Phase II

20

840

40

0-0-40

900

60