Professional Program · Analytics Diploma
Professional Diploma in Business Analytics
Decision-focused data science for management. Statistics, experimentation and applied machine learning, taught against real organizational problems rather than tidy datasets.
Overview
The Professional Diploma in Business Analytics is a twelve-month, full-time program in decision-focused data science for management.
Every method is taught against a management problem with real constraints: imperfect data, limited time and skeptical stakeholders.
The final term centers on an applied analytics project with a client problem, assessed by technical review and recommendation presentation.
The cohort
- Cohort size
- 36, maximum
- Contact hours
- approximately 540 over 12 months
- Format
- Full-time, on campus
- Completion document
- Professional Diploma
Learning goals
On completion of the program, participants are able to:
- 01Frame a management question as a tractable analytical problem with explicit assumptions.
- 02Design and analyze experiments and quasi-experiments that can survive scrutiny.
- 03Build, validate and document predictive models with stated limitations.
- 04Govern analytical work: data quality, model risk, privacy and audit.
- 05Communicate quantitative evidence to decision-makers plainly and honestly.
Curriculum
The program is measured in internal contact units for workload planning. Contact units are not represented as transferable college credit.
Total: 40 contact units
Term One — Foundations
| Code | Module | Status | Units |
|---|---|---|---|
| PBA 601 | Statistics for Management | Core | 4 |
| PBA 602 | Data Management & Visualization | Core | 4 |
| PBA 603 | Decision Modeling & Optimization | Core | 4 |
| PBA 604 | Economics of Organizations | Core | 4 |
Term Two — Methods
| Code | Module | Status | Units |
|---|---|---|---|
| PBA 611 | Applied Machine Learning | Core | 4 |
| PBA 612 | Experimentation & Causal Inference | Core | 4 |
| PBA 613 | Forecasting & Time-Series Analysis | Core | 4 |
| PBA 614 | Analytics Strategy & Governance | Core | 4 |
Term Three — Application
| Code | Module | Status | Units |
|---|---|---|---|
| PBA 621 | Applied Analytics Project | Project | 8 |
| PBA 622 | Communicating Quantitative Evidence | Core | 4 |
Assessment
Assessment is governed by the Assessment & Grading Policy (AC-02); grading criteria are published with every brief.
- Technical assignments & model reviews
- 35%
- Written examinations
- 25%
- Applied analytics project & client presentation
- 30%
- Class contribution
- 10%
Entry requirements
- Prior study, professional training, or work experience showing quantitative preparation.
- Working knowledge of at least one programming language used for analysis, preferably Python or R.
- Professional experience is valued but not required.
- Two references and proof of English proficiency where applicable.
Fees — 2026 entry
- Program fee
- $34,000
- Payable in
- 3 installments$12,000 / $11,000 / $11,000
- Processing fee
- $175non-refundable
- Registration deposit
- $2,000credited against first-term fee
- Software & data license
- $950
The full schedule of general fees, payment terms and the fee refund policy is published under Program Fees.
Key dates
- Applications open
- 1 October 2025
- Priority deadline
- 15 January 2026
- Final deadline
- 31 March 2026
- Decisions issued
- from 28 February 2026
- Term begins
- 14 September 2026