惠灵顿维多利亚大学

Explore the wonder of science: As a Bachelor of Science (BSc) student at Victoria, you’ll absorb knowledge, observe phenomena, experiment with ideas, and maybe even be part of making new discoveries. With a strong practical focus, a BSc will take you far beyond the lecture theatre. Apply your curiosity to the many laboratories, field trips, and summer scholar opportunities offered within this degree.

Data Science

Study Data Science to develop technical skills in computing technologies, statistics, and mathematics and work with real data sets to develop a practical understanding of the social dimensions of data. You’ll assess the ethics of data collection and use, question privacy and security issues, learn about the importance of communicating effectively with data and gain an overall understanding of the consequences of the data revolution.

Course Structure

For this degree you'll need to:

Complete at least 360 points, of which:

• At least 270 points must be from courses listed for the BSc
• At least 210 points must be from 200 and 300-level courses, including:
• At least 150 points must be from courses listed for the BSc
• At least 75 points must be from 300-level courses listed for the BSc

Courses listed for other degrees may be counted as being BSc courses, including:

• A maximum of 30 points if taken to satisfy a BSc major
• A maximum of 60 points if taken to satisfy a second major from another first degree at this university
• A maximum of 60 points across both these categories
• Complete one course in MATH 100-399, PHYS 100-399, QUAN 100-399, STAT 100-399, ENGR 121-123 or Engineering Physics for Electronics and Computer Systems (ENGR 142)
• Complete one approved course that demonstrates competency in oral and written communications

In addition to the degree requirements, for this major you'll need to complete:

Three courses at 100 level:

Introduction to Data Science (DATA 101)

One course from:

• Introduction to Computer Program Design (COMP 102)
• Introduction to Computer Science (COMP 112)
• Programming for the Natural and Social Sciences (COMP 132)
• Databases (INFO 151)

One further course from:

• Probability and Decision Modelling (MATH 177)
• Statistics for Business (QUAN 102)
• Statistics in Practice (STAT 193)

Four courses at 200 level:

Techniques of Data Science (DATA 201)

Data Management and Programming (DATA 202)

One course from:

• Mathematical Statistics (MATH 277)
• Quantitative Methods for Economics and Finance (QUAN 203)
• Applied Statistics 2A (STAT 292)

Four courses at 300 level:

DATA 301

DATA 303

Machine Learning Tools and Techniques (COMP 309)

One further course from:

• DATA 304-399
• Introduction to Artificial Intelligence (COMP 307)
• COMS 305
• Applied Econometrics (ECON 303)
• Advanced Geographic Information Systems (GIS) (GEOG 315)
• System Verification (INFO 377)
• Marketing Analytics (MARK 317)
• Optimisation (MATH 353)
• Business Dynamics (MGMT 315)
• Decision Modelling for Managers (MGMT 316)
• Sample Surveys (STAT 392)
• Multivariate Statistics (STAT 394)
• Database System Engineering (SWEN 304)

Get a postgraduate degree

At the end of your three-year BSc you can continue your learning with postgraduate studies. Give your career options a boost and choose from the range of postgraduate science programmes offered.