Business Data Science - ECONL13959
Stream Summary
Faculty: COMM - UNSW Business School
School: School of Economics
Contact: UNSW Business School Student Centre
Program: 3959 - Data Science and Decisions
Award(s):
Bachelor of Data Science and Decisions (Major)
View stream information for previous years
Stream Outline
Business Data Sciences is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. The information gleaned from the data analysis is intended to improve business decisions and inform policies.
The program provides a strong technical background in mathematics, statistics, computer science and economics. The Business Data Science major enables a student to specialise further in econometrics and business applications and to choose from electives across economics and business disciplines as well as specialised courses in mathematics, statistics and computer science.
The program and this major open a pathway to exciting careers in data science with applications to economics and business. Any organisation interested in insights from data about consumer choices, online searches and numerous other monitored or surveyed activities requires a team to model and analyse this data and to inform evidence-based decisions and policies.
The program provides a strong technical background in mathematics, statistics, computer science and economics. The Business Data Science major enables a student to specialise further in econometrics and business applications and to choose from electives across economics and business disciplines as well as specialised courses in mathematics, statistics and computer science.
The program and this major open a pathway to exciting careers in data science with applications to economics and business. Any organisation interested in insights from data about consumer choices, online searches and numerous other monitored or surveyed activities requires a team to model and analyse this data and to inform evidence-based decisions and policies.
Stream Structure
A major in Business Data Science consists of 8 courses (48 UOC). Three of these courses are required while the other five are elective courses to be chosen from the list below. At least three of the elective courses must be at level 3 or above. At least 3 of the electives must be selected from Business School course subject areas ACTL, ECON, INFS, MARK and MNGT.
Note that in addition to these 8 courses, a student planning to take the ECONL1 stream in the Data Sciences and Decisions program must also complete the 4 required courses MATH1131/1141, MATH1231/1241, ECON1101 and ECON2112.
Note that in addition to these 8 courses, a student planning to take the ECONL1 stream in the Data Sciences and Decisions program must also complete the 4 required courses MATH1131/1141, MATH1231/1241, ECON1101 and ECON2112.
COMPULSORY COURSES
Level 2
Level 2
- ECON2206 Introductory Econometrics (6 UOC)
- ECON2209 Business Forecasting (6 UOC)
MATH2831 can be substituted for ECON2206.
Level 3
Level 3
ELECTIVE COURSES
Level 1
Level 1
- ECON1102 Macroeconomics 1 (6 UOC)
- MARK1012 Marketing Fundamentals (6 UOC)
- MATH1081 Discrete Mathematics (6 UOC)
Level 2
Level 3
- ACTL3141 Actuarial Models & Statistics (6 UOC)
- ACTL3142 Actuarial Data and Analysis (6 UOC)
- COMP9313 Big Data Management (6 UOC)
- COMP9417 Machine Learning & Data Mining (6 UOC)
- ECON3107 Economics of Finance (6 UOC)
- ECON3130 Real Estate Economics (6 UOC)
- ECON3206 Financial Econometrics (6 UOC)
- INFS3603 Intro to Business Analytics (6 UOC)
- MARK3054 Marketing Analytics (6 UOC)
- MARK3085 Digital Mktg & Web Analytics (6 UOC)
- MATH3871 Bayesian Inference and Comp (6 UOC)
AN EXAMPLE SCHEDULE
The following is an example of a schedule of courses that enables a student to complete the Business Data Science major in the Data Science and Decision program.
YEAR 1
1. MATH1131 Mathematics 1A (S1, S2)
2. MATH1231 Mathematics 1B (S1, S2)
3. COMP1511 Introduction to Programming (S1, S2)
4. COMP2521 Data structure and Algorithms (S1, S2)
5. ECON1101 Microeconomics 1 (S1, S2)
6. DATA1001 Introduction to Data Science and Decisions
7. A General Education course
8. A General Education course
YEAR 2
1. MATH2801 Theory of Statistics (S1)
2. MATH2501 Linear Algebra (S1)
3. ECON2112 Game Theory and Business Strategy (S1)
4. ECON2206 Introductory Econometrics (can be substituted with MATH2831 (S1,S2)
5. ECON2209 Business Forecasting (S1)
6. MARK1012 Marketing Fundamentals
7. ECON2101 Microeconomics 2
8. A free elective
YEAR 3
1. DATA3001 Data Science and Decisions in Practice
2. COMP3311 Database Systems (S1)
3. ECON3203 Econometric Theory and Methods (S2)
4. ECON3208 Applied Econometric Methods
5. ACTL3142 Actuarial Data and Analysis
6. INFS3603 Business Intelligence
7. MARK3054 Marketing Analytics and Big Data
8. A free elective
The following is an example of a schedule of courses that enables a student to complete the Business Data Science major in the Data Science and Decision program.
YEAR 1
1. MATH1131 Mathematics 1A (S1, S2)
2. MATH1231 Mathematics 1B (S1, S2)
3. COMP1511 Introduction to Programming (S1, S2)
4. COMP2521 Data structure and Algorithms (S1, S2)
5. ECON1101 Microeconomics 1 (S1, S2)
6. DATA1001 Introduction to Data Science and Decisions
7. A General Education course
8. A General Education course
YEAR 2
1. MATH2801 Theory of Statistics (S1)
2. MATH2501 Linear Algebra (S1)
3. ECON2112 Game Theory and Business Strategy (S1)
4. ECON2206 Introductory Econometrics (can be substituted with MATH2831 (S1,S2)
5. ECON2209 Business Forecasting (S1)
6. MARK1012 Marketing Fundamentals
7. ECON2101 Microeconomics 2
8. A free elective
YEAR 3
1. DATA3001 Data Science and Decisions in Practice
2. COMP3311 Database Systems (S1)
3. ECON3203 Econometric Theory and Methods (S2)
4. ECON3208 Applied Econometric Methods
5. ACTL3142 Actuarial Data and Analysis
6. INFS3603 Business Intelligence
7. MARK3054 Marketing Analytics and Big Data
8. A free elective
Additional Information
Please note that these requirements may be subject to change.
Students are advised to follow requirements according to the year they commenced. Please refer to previous editions of the Online Handbook for your program requirements.
Contact the UNSW Business School Student Centre for advice.
tel: + 61 2 9385 3189
Location: Level 1, room 1028, Quadrangle Building
Forms, policies and procedures
Frequently asked questions
Students are advised to follow requirements according to the year they commenced. Please refer to previous editions of the Online Handbook for your program requirements.
Contact the UNSW Business School Student Centre for advice.
tel: + 61 2 9385 3189
Location: Level 1, room 1028, Quadrangle Building
Forms, policies and procedures
Frequently asked questions
