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University of Nottingham Malaysia

Course overview

The Bachelor of Science (Hons) in Mathematics and Data Science at the University of Nottingham Malaysia (UNM) is an interdisciplinary degree combining computer science, statistics, and scientific methods. This three-year, full-time programme equips students with the skills to uncover patterns, build predictive models, and generate insights from data across fields such as finance, digital media, and scientific research. Students will study core mathematics, probability, statistics, programming, machine learning, and artificial intelligence methods, gaining expertise in mathematical modelling, programming, data visualisation, and critical soft skills like problem-solving and communication.

Designed to meet the growing demand for data scientists, the curriculum emphasises both theoretical and practical learning, culminating in group projects and industrial training. Graduates will be prepared for roles in the dynamic fields of big data, artificial intelligence, and analytics. This forward-thinking degree offers a comprehensive foundation in the fast-evolving intersection of mathematics and computer science, preparing students for global opportunities in technology and beyond.

Why choose this course?

  • Integrated Expertise: Combines advanced mathematics and computer science to address real-world challenges in big data and analytics, equipping students with interdisciplinary skills.
  • Industry-Relevant Curriculum: Offers hands-on experience with data visualisation, machine learning, and algorithm design, preparing graduates for high-demand roles in data science and AI.
  • Practical Learning Opportunities: Includes group projects, programming tasks, and industrial training to develop problem-solving and teamwork abilities in real-world contexts.
  • Global Career Readiness: Focuses on transferable skills like statistical modelling, mathematical reasoning, and software engineering to open doors to diverse global industries.
  • Future-Focused Programme: Designed to meet the needs of the digital age, providing graduates with a strong foundation for careers in technology, finance, research, and beyond.

Modules

Core modules

  • Core Mathematics
  • Probability and Statistics 1
  • Programming and Algorithms
  • Computer Fundamentals
  • Fundamentals of Artificial Intelligence

Core modules

  • Probability and Statistics 2
  • Probability 3
  • Statistics 3
  • Scientific Computation
  • Algorithms Data Structures and Efficiency
  • Introduction to Formal Reasoning
  • Industrial Training

Optional modules

  • Operating Systems and Concurrency 
  • Developing Maintainable Software 
  • Artificial Intelligence Methods 
  • Databases and Interfaces 
  • Human Computer Interaction 
  • Introduction to Image Processing 
  • C++ Programming 
  • Software Specification 
  • Languages and Computation 

Core modules

  • Mathematics Group Projects
  • Optimization
  • Machine Learning

Optional modules

  • Applied Statistical Modelling
  • Multivariate Analysis
  • Software Quality Assurance
  • Autonomous Robotic Systems
  • Designing Intelligent Agents
  • Computer Security
  • Computer Vision
  • Data Visualisation
  • Data Visualisation Project

Entry requirements

All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2025 entry.

A Level BBC, including Mathematics at grade B, excluding Critical Thinking and General Studies.
IB Diploma 26 points, including Mathematics: Analysis and Approaches (HL) at 5 points.
STPM BBC+, including Mathematics at grade B; excluding Pengajian Am.
UEC 5 B3s, including Mathematics, excluding Bahasa Malaysia and Chinese Language.
Australian Year 12 ATAR 82. Applicants are required to meet specific grade standards in Mathematics, aligned with A Level subject requirements. To fulfil these A Level standards, specific grade equivalents in the Senior Secondary Certificate of Education (SSCE) are required. For WACE, applicants must have studied both Mathematics Methods and Mathematics Specialist. For SACE, both Mathematical Methods and Specialist Mathematics are required. For other states and territories, the Mathematics subjects will be reviewed on a case-by-case basis.
Ontario Secondary School Diploma (OSSD) 77% average based on 6 subjects, including 81% in both Advanced Functions and Calculus and Vectors.

Canadian Secondary School Diplomas from other provinces are acceptable and will be assessed based on the University’s requirements.
Gaokao (NCEE) and Senior High School Diploma (China) 70% average in the Gaokao, including 75% in Mathematics. In addition, a minimum of 70% overall in the Senior High School Diploma, with at least 80% in Mathematics and at least 70% in one of the Science, Technology, or Engineering subjects.

Gaokao scores are converted from 750 to a percentage scale.
Senior School Certificate Examination (CBSE) / Indian School Certificate (CISCE) - Class XII 78% average from the best four subjects, including 80% in Mathematics (CBSE Applied Mathematics is not accepted). Excludes local language, Environmental Education, General Studies, and Physical Education.
Advance Placement (AP) 4, 4, 3, including AP Calculus BC with a score of 4.
Diploma - Local Institutions Entry to Year 2 is assessed on a case-by-case basis, typically requiring a minimum GPA of 3.20 out of 4.0 and good grades in relevant subjects, including all Mathematics modules at grade B.
Foundation - Local Institutions Acceptance is at the School’s discretion and requires a minimum GPA of 3.0 out of 4.0 and good grades in relevant subjects, including all Mathematics modules at grade B.
Nottingham's Foundation Programme Successful completion is required, with a minimum score of 50% in all Mathematics modules.

In addition to the entry requirements listed above, applicants must have a grade C in Additional Mathematics at the SPM level or in Mathematics. Those with a grade C in Mathematics must also have at least a grade C in one of the Science, Technology, or Engineering subjects at SPM/GCSE/IGCSE/High School Diploma, or an equivalent qualification. This requirement may be waived for applicants with an appropriate science background.

This list is not exhaustive, and we accept a wide range of qualifications. Eligibility will be fully determined upon the submission of a completed application.

IELTS (Academic):

6.0 (with no less than 5.5 in each element)

TOEFL (iBT): 80 (minimum 17 in Writing and Listening, 18 in Reading and 20 in Speaking)
PTE (Academic): 65 (with no less than 59 in each element)
GCE A Level English Language or English Literature: Grade C
GCE AS Level English Language or English Literature: Grade C
SPM: CEFR level B2
GCSE O-Level: Grade C / 4
IGCSE (first language): Grade C / 4
IGCSE (first second): Grade B / 6
MUET: Brand 4
UEC: Grade B3
IB English A1 or A2 (Standard or Higher Level): 4 points

IB English B (Higher Level):

4 points

IB English B (Standard Level):

5 points

OSSD English (ENG3U/ENG4U) (No fast-track route):

75%

CBSE/CISCE Class XII or Class X:

70% overall (confirmation of English as the medium of instruction required)

  • IELTS (Academic), TOEFL iBT, and PTE (Academic) test results must be less than two years old.
  • IELTS One Skill Retake is accepted.
  • IELTS Academic Online, TOEFL iBT Home Edition, and PTE Academic Online are not accepted.
  • MUET results are valid for five years from the release date.
  • OSSD English (ENG3U/ENG4U) with the required grades will only be accepted if applicants have completed all 30 credits from standard OSSD courses, not through credit exemptions. Fast-track routes are not accepted.
  • CBSE/CISCE Class XII or Class X English with the required grades will only be accepted if applicants provide a confirmation letter stating that English was the medium of instruction throughout schooling from Class X to Class XII.

Foundation progression options

The Nottingham's Foundation Programme is a 1-year pre-university course that prepares students for direct progression to UNM’s undergraduate degrees. It builds a strong academic foundation while enhancing language, critical thinking, and study skills. Students can also explore elective modules tailored to their chosen degree pathway.

Learning and assessment

How you will learn

  • Lectures
  • Seminars
  • Tutorials
  • Computer labs

How you will be assessed

  • Coursework
  • Examinations

Applying

Our step-by-step guide contains everything you need to know about applying for undergraduate courses.

How to apply

Fees

ResidencyFees
Malaysian studentsRM52,000 per year
International studentsRM58,000 per year

Where you will learn

Malaysia Campus

Semenyih Campus is 48km from Kuala Lumpur International Airport and just 45 minutes’ drive from the famous city centre with its iconic Petronas Twin Towers. On arrival, you are immersed in the green jungle backdrop that Malaysia provides with wildlife, sunshine and campus lake.

The campus is home to our business, education, science and engineering schools, which sit alongside a sports centre, library and student accommodation. The University has everything a modern day student could wish for with the added bonus of being located in central Asia allowing you to travel further afield in your free time.

Public transport is plentiful with free shuttle services operating on some routes. Taxi/Grab services in Malaysia are very reasonable and used widely by the student community.

Careers

Laying a solid foundation in this field, this programme enables our graduates to pursue careers in various roles and industries.

  • Data Scientist
  • Data Science System Developer
  • Data Analyst
  • Statistical Analyst
  • Machine Learning Engineer
  • Data Engineer

Are you ready to embark on an exciting career journey after graduation? At the University of Nottingham Malaysia, our Careers Advisory Service is here to support your career aspirations. We offer a range of professional services, including résumé writing assistance and interview preparation, to equip you with the tools needed to excel in today’s competitive job market. Contact careers@nottingham.edu.my to learn more.

Frequently asked questions

The University of Nottingham’s Mathematics and Data Science BSc (Hons) programme is an interdisciplinary undergraduate degree that combines the mathematical foundations with the skills and techniques of data science.

This course will equip students with a strong background in computational expertise and mathematics that is necessary to analyse, interpret, and extract insights from complex data sets, which will help to make informed data-driven decisions across various industries.

This course offers many advantages. The combination of mathematics and data science enables students to gain a comprehensive skill set that is in high demand in the job market.

Graduates of this programme will possess a strong foundation in mathematical science principles, statistical analysis, and programming skills, which prepares them for careers in data science, data analytics, machine learning, and other related fields.

Yes, internships and practical experience are part of the course to provide students with the opportunity to apply the mathematical and data science knowledge they learnt in real-world settings. This will further help them gain practical skills and build professional networks.

Yes, the strong foundation gained from this undergraduate degree will allow students to pursue postgraduate degrees in fields such as engineering, data science, computer science, statistics and other related disciplines. UNM students can consider the Engineering MPhil/PhD for postgraduate studies. 

A degree in this discipline opens doors for work in sectors such as:

  • Finance
  • Healthcare
  • Technology
  • Consulting
  • Business, and more.

Graduates can pursue job roles such as:

  • Data scientists
  • Data analysts
  • Machine learning engineers
  • Business analysts
  • Quantitative analysts

Proficiency in programming languages will help you succeed in this course. However, you do not need prior knowledge to enrol. 

A Mathematics and Data Science course typically introduces students to several common software and tools used in the field. Students will learn programming languages such as Python and R and be exposed to tools and frameworks such as TensorFlow, scikit-learn and SQL databases that are commonly employed in the data science ecosystem. 

Yes, UNM offers both scholarships and financial aid to deserving students who are enroled in this degree.

This content was last updated on 17 February 2025. Every effort has been made to ensure that this information is accurate, but changes are likely to occur between the date of publishing and course start date. It is therefore very important to check this website for any updates before you apply.