Diploma in Business Analytics (PSB Academy)
Course Information
Description
This Business Analytics course helps students gain a solid grounding in Business and Data Analytics.
To equip students with decision-making skills and insights that they need, it covers a wide array of subjects from management, marketing, descriptive analytics, predictive analytics to data storytelling for business.
With practical lessons, students will learn how to utilise the latest data analysis techniques with the Microsoft Excel, IBM SPSS and R Programming to solve real-world complex problems.
Upon completion of this course, students may further their studies with a degree from our university partners (subject to the university’s entry requirements).
Course Highlights
Practical Lessons
Learn the latest data analysis techniques with the Microsoft Excel, IBM SPSS and R Programming.
Problem Solving Skills
Support business decision-making by unveiling past patterns and building future predictions with data.
Direct Entry to University
Receive exemptions when you advance to a degree with us; subject to the university’s approval.
Learn From Industry Practitioners
Gain professional insights from our experienced lecturers.
Entry Requirements
Local Qualifications
- 2 GCE ‘A’ Level; OR
- PSB Academy Certificate in Business Management; OR
- Mature candidates (≥ 30 years old with 8 years’ work experience); OR
- Candidates with other qualifications will be considered as case-by-case basis
Minimum Age Requirement
- 16 years old
English Language Requirements (Language Proficiency)
- GCE ‘O’ level English (Grade 1-6); OR
- IELTS score of 5.5; OR
- PSB Academy’s Certificate in English Proficiency programme; OR
- PSB Academy English Proficiency Test; OR
- An equivalent English language qualification
International Qualifications:
- See course webpage for more information
Career Opportunities
Graduates may choose to pursue a future (but not limited to) in these departments/industries:
- Accountancy & Financial Management
- Banking & Financial Services
- Business Development & Consultancy
- Data Analysis
- Digital Marketing & E-commence
- Entrepreneurship
- Market Research
- Management
Modules
- Academic Reading and Writing 2
- Management
- Macroeconomics
- Marketing
- Descriptive Analytics
- Predictive Analytics
- PC Revolution
- Data Collection Methods
- Data Storytelling for Business
The delivery of modules is subject to change and may not follow the sequence as shown above.
Lesson duration: on average 2 – 3 hours per session
-
12 months
-
Part-time
-
12 months
-
Full-time
-
12 months
-
Part-time
-
12 months
-
Full-time
-
12 months
-
Part-time
-
12 months
-
Full-time