Bachelor of Applied Data Science

Monash University Malaysia

Bandar Sunway, Selangor, Malaysia

Quick Facts

Duration

3 years

Mode

Full-time, On-campus

Intake

Feb, Jul, Oct

Tuition Fees

RM154,080

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Course Highlights

Unique Applied Studies in a science component, which allows you to develop your passion in a science discipline whilst having data science competence
Undertake a project-based unit in your third year with heavy industry involvement, providing you with hands-on, real-world exposure to the workplace environment
Ranked #31 in the world in the QS World University Rankings 2027
Enhance your international perspective by studying at Monash campuses in Australia or spend a semester abroad at one of over 100 partner universities in 30 countries

Entry Requirements

Monash University Foundation Year (MUFY)*: 72.5%
GCE A Level**: 9
ATAR: 80
Gaokao, China: 65%
Hong Kong Diploma of Secondary Education: 17
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): 9
High School Diploma, Vietnam: 8.28
UNSW Foundation Studies: 7.5
Foundation in Science and Technology, Sunway College: 2.8
Foundation in Arts, Sunway College ? (To be assessed based on case-by-case basis)
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. For more information, please click here

***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

Prerequisites: Higher level Mathematics (Australian Year 12 or equivalent) and English (Monash's minimum English language requirements apply)

Courses with maths and science prerequisite subjects:

If the course applying for requires maths and/or science as prerequisite subjects, meet the requirements in the following ways:
- Australian Year 12 or International Baccalaureate (IB) Diploma Programme:
  - Must meet the maths and/or science prerequisite subject required for chosen course as specified above
  - Australian VCE subjects English: Units 3 and 4: a study score of at least 25 in English (EAL) or 25 in English other than EAL
  - Australian VCE subjects Maths: Units 3 and 4: a study score of at least 25 in Mathematical Methods or Specialist mathematics
- IB Subjects:
  - English Standard Level: At least 4 in one of the following: English A Literature,English A Language and Literature,Literature and Performance,English AB,English B
  - Maths Standard Level: At least 4 in one of the following Mathematics Analysis and Approaches
  - English High Level: At least 3 in one of the following English A Literature, English A Language and Literature, English B
  - Maths High Level: At least 3 in one of the following Mathematics Applications and Interpretations, Mathematics Analysis and Approaches.
- Other qualifications recognised by Monash:
  - If completed maths and/or science subjects in the relevant discipline at the required grade level, it is assumed that applicants have knowledge equivalent to the Australian Year 12 (VCE equivalent) prerequisite subject required for chosen course. It is strongly recommended to check if applicants have covered the assumed knowledge required for course by completing the Assumed Knowledge Skills Analysis
  - This can be completed once student has accepted Monash offer and has set up student account before strating their course

Note: These guidelines do not apply to the Bachelor of Medical Science or Doctor of Medicine

English Requirements

Must meet the minimum English language requirements except for Bachelor of Medical Science and Doctor of Medicine which requires higher English requirement by demonstrating English language proficiency through one of the following:

Notes:

¹ The published scores are based on Monash University’s English requirements and subject to change.
²Monash English with the Bachelor of Human Nutrition and Master of Biotechnology as a destination degree has a higher passing score requirement. The 10-week ME is not applicable for a pathway to the Bachelor of Human Nutrition and the Master of Biotechnology.
³Monash University does not accept Pearson Test of English (Academic) Online, TOEFL iBT Special Home Edition, or Cambridge Linguaskill General as satisfying the English entry requirement for any Monash course.
⁴TOEFL Essentials is currently not accepted for entry into Monash English

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Course Structure

Year 1

Semester 1 (24 Credit points)

ADS1001 Data challenges 1 (6 Credit points)
MAT1830 Discrete mathematics for computer science (6 Credit points)
ENG1090 Foundation mathematics (6 Credit points)
Applied studies (6 Credit points)

Semester 2 (24 Credit points)

ADS1002 Data challenges 2 (6 Credit points)
FIT1045 Introduction to programming (6 Credit points)
ENG1005 Engineering mathematics (6 Credit points)
Applied studies (6 Credit points)

Year 2

Semester 1 (24 Credit points)

ADS2001 Data challenges 3 (6 Credit points)
FIT1008 Fundamentals of algorithms (6 Credit points)
MTH2019 Multivariate mathematics for data science (6 Credit points)
Applied studies (6 Credit points)

Semester 2 (24 Credit points)

ADS2002 Data challenges 4 (6 Credit points)
FIT2086 Modelling for data analysis (6 Credit points)
MTH2051 Introduction to computational mathematics (6 Credit points)
Applied studies (6 Credit points)

Year 3

Semester 1 (24 Credit points)

MTH3330 Optimisation and operations research (6 Credit points)
FIT3152 Data analytics (6 Credit points)
MTH3320 Computational linear algebra (6 Credit points)
Free elective (6 Credit points)

Semester 2 (24 Credit points)

ADS3001 Advanced data challenges (12 Credit points)
FIT3181 Deep learning (6 Credit points)
Free elective (6 Credit points)

Overview

This course develops through theme studies in data challenges, techniques drawn from information technologies and mathematics, and applied studies. The course comprises 144 credit points of which 132 credit points are focused on Applied Data Science, and 12 credits of free elective units.

Part A. Data challenges (36 credit points):

These studies will develop your analytical skills and advance your ability to apply key information technology and mathematical concepts and methods. These skills will be elaborated through studio-based learning using authentic case studies sourced from industry partners, and with examples drawn from STEM areas, business, law, the humanities and social sciences.

Working in small teams or as individuals, you will realise the application of information technology and mathematical knowledge through authentic projects. Through designed experiences, you will learn to integrate a broad range of skills including collaborative work practices, communication, leadership and entrepreneurship to make you ready to approach the professions of the future.

Part B. Techniques for data science (72 credit points):

Through this theme you will gain the technical foundation that underpins this program. You will acquire knowledge and skills in mathematics and the capacity to tackle challenging problems in a variety of situations. Through core data science studies, you will also attain the skills needed to effectively use, develop and manage complex data. These two areas are critical for tackling the diverse problems encountered in Part A of the course.

Part C. Applied studies (24 credit points):

These studies will provide the foundation required to advance cross-disciplinary analytical thought. You will undertake a sequence of study in a discipline below:

The selection of studies available will ensure you can explore new and diverse areas and develop core strengths in studies that relate to data applications. In addition to the disciplinary expertise, you will develop an appreciation for the culture of your selected discipline, the development of ideas in a given subject area, and the contexts in which this is applied. Data applications relating to these subjects can then be incorporated through the learning experiences across Part A.

Part D. Elective (12 credit points):

This will enable you to further develop your technical skills or extend your knowledge in your selected applied studies. Alternatively, you can select units from across the university in which you are eligible to enrol.