Victoria University of Wellington

Overview

The Bachelor of Commerce in Data Science at Victoria University of Wellington is a three-year program that merges fundamental commerce education with advanced data science techniques applicable in real-world business and policy environments. Throughout the course, students will develop essential skills in data analysis and decision-making, while also gaining an understanding of the ethical application of data in various organizational and societal contexts.

What you'll study

The structure of the program begins with foundational commerce courses, progressing to more specialized studies in data science and related business disciplines.

Year 1 (Foundations)

• BCOM 101
• BCOM 102

Core commerce and business courses (examples)

• Accounting for Accountability and Decision Making
• Law for Business
• Microeconomic Principles
• Digital Systems and Information in Business and Society
• Principles of Marketing

Specialisation / major pathway

Students will complete a major that equips them with the specialized knowledge necessary for their chosen career paths within data science and commerce.

Capstone / assessment

Assessment methods will vary by course and may include assignments, projects, tests, and data-based tasks. It is advisable to confirm the specific capstone or project requirements for your major with the official curriculum.

Entry requirements

Admission is determined by the applicant's academic background and potential for success in undergraduate commerce studies. Specific entry grades and subject prerequisites may differ depending on the qualification and applicant pathway—check the university’s entry criteria for the most accurate information relevant to your situation.

Career prospects

Graduates of the Bachelor of Commerce in Data Science will be well-equipped to pursue various career opportunities in data analytics, business intelligence, and decision-making roles across diverse sectors. The combination of commerce and data science knowledge makes them valuable assets in today's data-driven job market.