+60142521561
Data Analytics PGDip
Course overview
| Qualification | Postgraduate Diploma |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | September |
| Tuition (Local students) | S$ 10,349 |
| Tuition (Foreign students) | S$ 24,715 |
Advertisement
Admissions
Intakes
Fees
Tuition
- S$ 10,349
- Local students
- S$ 24,715
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
Degree and/or experience:
- Honours degree at 2:1 or above, or equivalent work experience. Applicants are expected to be familiar
- with and have some aptitude for basic mathematics and statistics concepts and methods.
- Claims for the accreditation of prior (experiential) learning will also be considered.
English Language Requirement:
- IELTS 6.5 overall, with 6.0 in writing and a minimum of 5.5 in the other elements.
Curriculum
You will study five core modules. One of these involves an industry project that will provide you with hands-on experience.
As a Data Analytics student, you will also choose from a wide range of option modules. These will allow you to tailor the degree around your own interests.
Modules
- Data Management
- Programming for Analytics
- Statistical Analysis
- Business Analytics Strategy and Practice
- Industry project
Options:
- Multivariate Analysis
- Data Mining
- Stochastic Methods and Forecasting
- Financial Mathematics and Project Valuation