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Programme Overview

This Bachelor of Science (Honours) Data Science aims to provide students with a comprehensive grounding in the knowledge and expertise expected of data engineers and data scientists.

  • Academic Level

    Bachelor's Degrees

  • Study Modes

    Full-Time and Part-Time

  • Intake Months

    Jan, May, Sep

  • Course Duration

    Part-Time: 36 months*
    Full-Time: 24 months^
    *Possible completion in 24 months
    ^Possible completion in 16 months

  • Estimated Course Fees

    S$$23,892.80 - S$35,839.20

  • Mode of Delivery

    Blended (In-Campus & Online)
Overview

Introduction

University of Hertfordshire

This Bachelor of Science (Honours) Data Science aims to provide students with a comprehensive grounding in the knowledge and expertise expected of data engineers and data scientists. The curriculum is designed such that students are provided with a thorough exposure to the fundamental mathematical, statistical, and algorithmic principles underpinning data science.

This practical Data Science Degree provides students with current industry-standard software and hardware platforms and develop a competence in communicating technical findings to various stakeholders. Students will learn about the underlying tech in bitcoin and other cryptocurrencies, specialised programming languages used for machine learning and AI, and code their own blockchain using high-level programming language. Students will also develop the ability to approach problem-solving activities using mathematical and statistical insight, identify the most appropriate technical solutions using software and hardware and critically assess solution outcomes.

Course Highlights

  • Specialise in Programming Languages

    Learn fundamental and advanced programming skills, focusing on languages like Python and R, using tools such as Anaconda and Spyder.

  • Coding a Blockchain

    Understand the tech behind blockchains and cryptocurrencies and code your own blockchain.

  • Direct Entry to Year 2

    Stand to enjoy module exemptions and possible completion of a UK honours degree in 16 months, with a relevant polytechnic or private diploma qualification.

Prospectus

University of Hertfordshire Prospectus 2026
Potential Career Opportunities

Graduates may choose to pursue a future (but not limited to) in these departments/industries:

  • Market Research

  • Business Development & Consultancy

  • Banking & Financial Services

  • Data Analysis

  • Data Scientist

Duration

The programme can be completed within 16*-24 months, depending on number of exemptions.

*Subject to University's Approval

Learning Mode

Blended (In-Campus & Online)

Modules

Level 4 (Year 1) Modules

  • Probability and Statistics
  • Mathematical Methods
  • Principles of Data Science
  • IT Literacy and Core Skills
  • Linear Algebra
  • Data Science Laboratory 1
  • Computational Modelling
  • Principles of Data Presentation

Level 5 (Year 2) Modules

  • Programming
  • Information Theory
  • Big Data and High-Performance Computing
  • Blockchains and Cryptocurrencies
  • Statistical Modelling
  • Introduction to Machine Learning and Neural Networks
  • Game Theory
  • Data Science Laboratory 2

Level 6 (Year 3) Modules

  • Data Science Project
  • Computer Vision and Natural Language Processing
  • Linear Modelling
  • Advanced Machine Learning and Neural Networks
  • Multivariate Statistics
  • Next Generation Data Science

The delivery of modules is subject to change and may not follow the sequence as shown above.

Mode of Assessment

  • Assessment of this programme may include assignment, project, and written examination.

Intakes

  • Jan
  • May
  • Sept

Minimum Class Size: 15

Maximum Candidature: 5 years

Graduation Requirements

In order to graduate students must pass all prescribed modules.

Duration

The programme can be completed within 24*-36 months, depending on number of exemptions.

*Subject to University's Approval

Learning Mode

Blended (In-Campus & Online)

Modules

Level 4 (Year 1) Modules

  • Probability and Statistics
  • Mathematical Methods
  • Principles of Data Science
  • IT Literacy and Core Skills
  • Linear Algebra
  • Data Science Laboratory 1
  • Computational Modelling
  • Principles of Data Presentation

Level 5 (Year 2) Modules

  • Programming
  • Information Theory
  • Big Data and High-Performance Computing
  • Blockchains and Cryptocurrencies
  • Statistical Modelling
  • Introduction to Machine Learning and Neural Networks
  • Game Theory
  • Data Science Laboratory 2

Level 6 (Year 3) Modules

  • Data Science Project
  • Computer Vision and Natural Language Processing
  • Linear Modelling
  • Advanced Machine Learning and Neural Networks
  • Multivariate Statistics
  • Next Generation Data Science

The delivery of modules is subject to change and may not follow the sequence as shown above.

Mode of Assessment

  • Assessment of this programme may include assignment, project, and written examination.

Intakes

  • Jan
  • May
  • Sept

Minimum Class Size: 15

Maximum Candidature: 5 years

Graduation Requirements

In order to graduate students must pass all prescribed modules.

Academic Requirements

Level 4 (Year 1) Entry

  • Successful completion of PSB Academy Certificate in Engineering Foundation or Certificate in InfoComm Technology or
  • Successful completion of PSB Academy Certificate in Engineering Foundation (E-Learning) or Certificate in InfoComm Technology (E-Learning) with a minimum overall C grade and grade C in Foundation Mathematics module
  • (or) equivalent qualification that demonstrates preparedness for study.

Level 5 (Year 2) Entry

  • Successful completion of PSB Academy Diploma in InfoComm Technology, Diploma in Network Defence and Forensic Countermeasures, Diploma in Cyber Security and Diploma in InfoComm Technology (E-Learning)
  • Level 5 may also be possible on successful completion of a Diploma in STEM subjects including Mathematics modules from any of the following polytechnics in Singapore: 

Nanyang Polytechnic 
Ngee Ann Polytechnic 
Republic Polytechnic
Singapore Polytechnic
Temasek Polytechnic

Or

  • Other equivalent to UK BTEC Level 4 qualification

Minimum Age: 16 years old

English Language Requirement

  • GCE ‘O’ level English (grade 1 to 6) or equivalent. 
  • Students entering the programme whose first language is not English, or students whose medium of instruction on their qualifying programme was not English, will be required to demonstrate a proficiency in English to IELTS 6.0 with minimum 5.5 in each band or an equivalent recognised qualification.

International Qualifications

View International Qualifications

Academic Requirements

Level 4 (Year 1) Entry

  • Successful completion of PSB Academy Certificate in Engineering Foundation or Certificate in InfoComm Technology or
  • Successful completion of PSB Academy Certificate in Engineering Foundation (E-Learning) or Certificate in InfoComm Technology (E-Learning) with a minimum overall C grade and grade C in Foundation Mathematics module
  • (or) equivalent qualification that demonstrates preparedness for study.

Level 5 (Year 2) Entry

  • Successful completion of PSB Academy Diploma in InfoComm Technology, Diploma in Network Defence and Forensic Countermeasures, Diploma in Cyber Security and Diploma in InfoComm Technology (E-Learning)
  • Level 5 may also be possible on successful completion of a Diploma in STEM subjects including Mathematics modules from any of the following polytechnics in Singapore: 

Nanyang Polytechnic 
Ngee Ann Polytechnic 
Republic Polytechnic
Singapore Polytechnic
Temasek Polytechnic

Or

  • Other equivalent to UK BTEC Level 4 qualification

Minimum Age: 16 years old

English Language Requirement

  • GCE ‘O’ level English (grade 1 to 6) or equivalent. 
  • Students entering the programme whose first language is not English, or students whose medium of instruction on their qualifying programme was not English, will be required to demonstrate a proficiency in English to IELTS 6.0 with minimum 5.5 in each band or an equivalent recognised qualification.

International Qualifications

View International Qualifications

Full-Time Course Fees

Singapore-based Students & International Students:

Total Course Fee (Academic Year 1 Entry) - S$ 35,839.20

Total Course Fee (Academic Year 2 Entry) - S$ 23,892.80 

 

Progressing Students (After Rebate) 

S$ 22,698.16

Scenario-Based Mandatory Fees

Singapore-based Students

  • Application Fee (New Students): S$160.00
  • Student Development and Administration Fee: S$400.00

International Students:

  • Application Fee (New Students): S$490.00
  • Student Development and Administration Fee (New Students): S$1,250.00
  • Student Development and Administration Fee (Progressing Students):S$550.00

 

Note: All fees are subject to annual revision.

Miscellaneous Fees

View Miscellaneous Fees

Part-Time Course Fees

Singapore-based Students

  • Total Course Fee (Academic Year 1 Entry) - S$ 35,839.20 
  • Total Course Fee (Academic Year 2 Entry) - S$ 23,892.80 

Progressing Student
S$ 22,698.16

Scenario-Based Mandatory Fees

Singapore-based Students

  • Application Fee (New Students): S$160.00

Note: All fees are subject to annual revision.

Miscellaneous Fees

View Miscellaneous Fees

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