Comprehensive Exam Track: Total Credit Hours Required to Finish the Degree ( 36 Credit Hours ) as Follows
Specialization Requirements
Students must pass all of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 152626000 | INTRODUCTION TO DATA SCIENCE | 3 | - | 3 |
- |
|
| 152626010 | FINANCIAL MANAGEMENT THEORY AND PRACTICE | 3 | - | 3 |
- |
|
| 152626020 | FINANCIAL DERIVATIVES | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626030 | PORTFOLIO THEORY AND INVESTMENTS | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626040 | FUNDAMENTALS OF ASSET PRICING | 3 | - | 3 |
152626030 PORTFOLIO THEORY AND INVESTMENTS |
|
| 152626050 | MACHINE LEARNING IN FINANCE | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626060 | COMPUTATIONAL FINANCE | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES |
|
| 152626070 | QUANTITATIVE RESEARCH METHODS | 3 | - | 3 |
- |
|
| 152626080 | FINANCIAL RISK MANAGEMENT | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES |
|
| 152626090 | ALGORITHMIC FINANCE | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES 152626050 MACHINE LEARNING IN FINANCE |
|
Students must pass ( 6 ) credit hours from any of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 152626100 | PRINCIPLES OF CORPORATE FINANCE | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626110 | CAPITAL MARKETS | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626120 | FINANCIAL TECHNOLOGY | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626130 | INTERNATIONAL FINANCIAL MANAGEMENT | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626140 | FIXED-INCOME SECURITIES | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626150 | DATA ANALYTICS FOR FINANCE | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626160 | DESIGN OF ALGORITHMS | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626170 | DECISION ANALYSIS | 3 | - | 3 |
- |
|
| 152626180 | ESSENTIALS OF ECONOMETRICS | 3 | - | 3 |
- |
|
| 152626190 | SEMINAR IN FINANCIAL ENGINEERING | 3 | - | 3 |
152626080 FINANCIAL RISK MANAGEMENT |
|
Thesis\Treatise Track: Total Credit Hours Required to Finish the Degree ( 36 Credit Hours ) as Follows
Specialization Requirements
Students must pass all of the following courses plus ( 6 ) credit hours for the Thesis
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 152626000 | INTRODUCTION TO DATA SCIENCE | 3 | - | 3 |
- |
|
| 152626010 | FINANCIAL MANAGEMENT THEORY AND PRACTICE | 3 | - | 3 |
- |
|
| 152626020 | FINANCIAL DERIVATIVES | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626030 | PORTFOLIO THEORY AND INVESTMENTS | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626040 | FUNDAMENTALS OF ASSET PRICING | 3 | - | 3 |
152626030 PORTFOLIO THEORY AND INVESTMENTS |
|
| 152626050 | MACHINE LEARNING IN FINANCE | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626060 | COMPUTATIONAL FINANCE | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES |
|
| 152626070 | QUANTITATIVE RESEARCH METHODS | 3 | - | 3 |
- |
|
Students must pass ( 6 ) credit hours from any of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 152626080 | FINANCIAL RISK MANAGEMENT | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES |
|
| 152626090 | ALGORITHMIC FINANCE | 3 | - | 3 |
152626020 FINANCIAL DERIVATIVES 152626050 MACHINE LEARNING IN FINANCE |
|
| 152626100 | PRINCIPLES OF CORPORATE FINANCE | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626110 | CAPITAL MARKETS | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626120 | FINANCIAL TECHNOLOGY | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626130 | INTERNATIONAL FINANCIAL MANAGEMENT | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626140 | FIXED-INCOME SECURITIES | 3 | - | 3 |
152626010 FINANCIAL MANAGEMENT THEORY AND PRACTICE |
|
| 152626150 | DATA ANALYTICS FOR FINANCE | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626160 | DESIGN OF ALGORITHMS | 3 | - | 3 |
152626000 INTRODUCTION TO DATA SCIENCE |
|
| 152626170 | DECISION ANALYSIS | 3 | - | 3 |
- |
|
| 152626180 | ESSENTIALS OF ECONOMETRICS | 3 | - | 3 |
- |
|
| 152626190 | SEMINAR IN FINANCIAL ENGINEERING | 3 | - | 3 |
152626080 FINANCIAL RISK MANAGEMENT |
|
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