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Bachelor of Applied Data Science
About
Data scientists with the necessary skills and qualifications are in high demand worldwide. With a Bachelor's in Applied Data Science, you will get the technical skills necessary to tackle challenging data problems, extract useful information from massive amounts of data, and assist in putting that knowledge into practice for society, industry, and research. This course's distinctive Applied Studies in science component, which enables you to pursue your passion in a scientific field, distinguishes it from other data science degrees.
In a range of industries, including biotechnology and pharmaceuticals, biomedical science, genetics and genomics, natural resources and energy, and many more, you will acquire advanced knowledge and technical skills in data science to design, analyse, implement, and apply methods to positively impact our daily lives.
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | February, July, October |
| Total estimated cost (local) | S$ 44,619 |
| Total estimated cost (foreign) | S$ 52,341 |
Subjects
-
Applied Science
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | S$ 44,619 | S$ 52,341 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | S$ 44,619 | S$ 52,341 |
| Estimated cost per year | S$ 14,873 | S$ 17,447 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.
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.
Admissions
Intakes
Entry Requirements
Any of these:
- Monash University Foundation Year (MUFY)*: 72.5%
- GCE A Level**: 9
- ATAR: 80
- Gaokao, China: 65%
- Hong Kong Diploma of Secondary Education: 18
- Indian School Certificate Examination: 70%
- All India Senior School Certificate Examination: 75%
- International Baccalaureate Diploma Program (IB Diploma Program): 28
- STPM, Malaysia: 8.5
- UEC, Malaysia: ≤ 4.2
- Program Matrikulasi (Matriculation Program), Malaysia: 2.67
- Ontario Secondary School Diploma: 81.6%
- Sri Lankan General Certificate of Education (Advanced Level): 11
- High School Diploma, Vietnam: 8.28
- UNSW Foundation Studies: 7.5
- Foundation in Science and Technology, Sunway College: 70%
- Foundation in Arts, Sunway College
- Monash College Diploma Part 2***: 60%
*The undergraduate entry requirements published are for students who commence the MUFY program in 2024.
**The Malaysian Qualification Agency (MQA) accepts a minimum D Grade in A Level to be equivalent to the STPM Pass grade.
***The Monash College Diploma Part 2 entry requirements published are for students commencing their undergraduate destination degree in 2025. Maximum credit awarded for this program: 42 credit points; course duration at Monash: 2 - 2.5 years.
Prerequisite:
- Higher level Mathematics (Australian Year 12 or equivalent) and English (Monash’s minimum English language requirements apply).
English Language Requirements:
- IELTS (Academic)/IELTS One Skill Retake (Academic)/IELTS Online:
- Overall score: 6.5
- Listening score: 6.0
- Reading score: 6.0
- Writing score: 6.0
- Speaking score: 6.0
- TOEFL iBT/TOEFL iBT Paper Edition:
- Total Score: 79
- Listening score: 12
- Reading score: 13
- Writing score: 21
- Speaking score: 18
- PTE Academic:
- Overall score: 58
- Listening score: 50
- Reading score: 50
- Writing score: 50
- Speaking score: 50
- C1 Advanced or C2 Proficiency:
- Overall score: 176
- Listening score: 169
- Reading score: 169
- Writing score: 169
- Speaking score: 169
Curriculum
YEAR 1
Semester 1
- Data challenges 1
- Discrete mathematics for computer science
- Foundation mathematics
- Applied studies
Semester 2
- Data challenges 2
- Introduction to programming
- Engineering mathematics
- Applied studies
YEAR 2
Semester 1
- Data challenges 3
- Fundamentals of algorithms
- Multivariate mathematics for data science
- Applied studies
Semester 2
- Data challenges 4
- Modelling for data analysis
- Introduction to computational mathematics
- Applied studies
YEAR 3
Semester 1
- Optimisation and operations research
- Data Analytics
- Computational linear algebra
- Free elective
Semester 2
- Advanced data challenges
- Deep learning
- Free elective