Program start date | Application deadline |
2025-09-01 | - |
2026-09-01 | - |
Program Overview
Data Science (HTQ) CertHE
Course Overview
The Certificate of Higher Education in Data Science is an intensive one-year programme that prepares you for an exciting career in the field of artificial intelligence and data analysis. The course is aimed at industry professionals and provides an introduction to data analysis and data technologies.
Course Options
- Full Time (9 months)
- Start dates: Sep 2025, Sep 2026
- Study type: Full Time
- Course length: 9 Months
- Campus: Park, Cheltenham
- UCAS Code: I260
Course Modules
- Level 4 (Undergraduate year 1)
- Systems Design and Development (CT4023)
- Scheduled Contact Hours: 72
- Independent Learning Hours: 228
- Assessment:
- 001: 50% Portfolio: Individual: 2000 words or equivalent
- 002: 50% Portfolio: Individual: 2000 words or equivalent
- Programming and Mathematics (CT4101)
- Scheduled Contact Hours: 72
- Independent Learning Hours: 228
- Assessment:
- 001: 50% Portfolio: Individual: 2000 words or equivalent
- 002: 50% Portfolio: Individual: 2000 words or equivalent
- Programming Algorithms & Techniques (CT4102)
- Scheduled Contact Hours: 72
- Independent Learning Hours: 228
- Assessment:
- 001: 50% Portfolio: Individual: 2000 words or equivalent
- 002: 50% Portfolio: Individual: 2000 words or equivalent
- Introduction to Artificial Intelligence (CT4103)
- Scheduled Contact Hours: 72
- Independent Learning Hours: 228
- Assessment:
- 001: 50% Portfolio: Individual: 2000 words or equivalent
- 002: 50% Portfolio: Individual: 2000 words or equivalent
- Systems Design and Development (CT4023)
Fees and Costs
- Start date | Location | UCAS code | Fee (UK) | Fee (international)
- Sep 2025 | Park, Cheltenham | I260 | £9,535 | £17,425
- Sep 2026 | Park, Cheltenham | I260 | TBC | TBC
Careers
Upon completion of the course, you’ll be presented with a range of career opportunities in roles such as a junior data analyst, junior software developer, technician, and software QA.
Teaching Staff
- Dr Zainab Loukil, Academic Course Leader for Data Science (HTQ)
Facilities
- FuturePark, a £5.8 million centre of excellence for cyber and digital
- Cyber Control Centre
- Virtual Reality facility
- Digital lounge
- Enhanced teaching and learning facilities
- Latest technology, including photogrammetry equipment
Trips and Experiences
- Opportunity to attend data science-related industry conferences
- Talks by guest speakers from industry
School of Business, Computing and Social Sciences
- Gain new skills and develop innovative projects using cutting-edge facilities, labs, and suites
- Work with expert lecturers and professionals from across the industry
Disclaimer
Please note that this course is currently pending validation.
Program Outline
Degree Overview:
The
Data Science (HTQ) CertHE
is an intensive, one-year program designed to prepare students for careers in the field of artificial intelligence and data analysis. This introductory course targets industry professionals and focuses on data analysis and technologies, covering both theoretical and practical aspects of entry-level data science, including Python, machine learning, and data visualization. Additionally, the course provides foundational skills in computer science and programming, such as object-oriented programming, data structures, algorithms, and database design. The program is delivered through a blend of interactive lectures and hands-on lab sessions. The modules are designed to foster independent and collaborative learning, equipping students with crucial industry skills. The curriculum is regularly reviewed and updated, ensuring its relevance and effectiveness.Outline:
The Data Science (HTQ) CertHE program comprises the following modules:
Level 4 (Undergraduate year 1):
- Systems Design and Development (CT4023): This module introduces systems analysis and database design, using Agile Methods to transform business requirements into database systems. Students are also introduced to the requirements of being a Computing Professional.
- Programming and Mathematics (CT4101): This module covers the fundamentals of computer programming and explores fundamental mathematics, trigonometry, and physics algorithms and their applications in computer programming.
- Programming Algorithms & Techniques (CT4102): This module delves into data structures, compression techniques, programming design patterns, and file type format structures used in games development. It covers how to read and write these data structures to file and utilize them within games.
- Introduction to Artificial Intelligence (CT4103): This module offers a comprehensive introduction to the concepts and tools of artificial intelligence, assuming no prior knowledge. This provides a grounding for students to progress to level 5 modules in AI. ## Assessment: The assessment methods for each module are detailed below:
- Systems Design and Development (CT4023):
- 50% portfolio: individual, 2000 words or equivalent
- 50% portfolio: individual, 2000 words or equivalent
- Programming and Mathematics (CT4101):
- 50% portfolio: individual, 2000 words or equivalent
- 50% portfolio: individual, 2000 words or equivalent
- Programming Algorithms & Techniques (CT4102):
- 50% portfolio: individual, 2000 words or equivalent
- 50% portfolio: individual, 2000 words or equivalent
- Introduction to Artificial Intelligence (CT4103):
- 50% portfolio: individual, 2000 words or equivalent
- 50% portfolio: individual, 2000 words or equivalent ## Teaching: The program is taught by experienced faculty with expertise in the field of data science. The teaching style is interactive and open, encouraging student questions and interests. The curriculum aligns with the planned learning objectives. Lecturers and support staff guide students during lab sessions to overcome challenges and ensure steady progress. ## Careers: Upon completing the program, graduates are well-equipped for careers in various data-related roles, including junior data analyst, junior software developer, technician, and software QA. The program also prepares students for further studies at the degree level in data science or related fields. ## Other:
- The program is currently pending validation.
- Students will need to possess a strong background in mathematics and be proficient in basic computer programming.
- The program is offered full-time and part-time.
- The program is offered at Park Campus in Cheltenham. ## Note: The text does not provide information on the program's cost or the academic calendar.
Tuition Fees and Payment Information:
UK Fees:
- £9,250 per year
International Fees:
Overview:
University of Gloucestershire is a public university located in Gloucestershire, England. It offers a wide range of undergraduate and postgraduate degrees, as well as degree apprenticeships and short courses. The university has a strong focus on graduate employability, with 95% of its students in work or further study within 15 months of graduating.
Services Offered:
The university provides a variety of services to its students, including:
Accommodation:
Guaranteed first-year accommodation on or near campus.Student Support:
A range of support services, including academic, financial, and personal support.Student Futures:
Career guidance and support services to help students find employment or further study.Students' Union:
A vibrant student community with over 80 societies and sports clubs.Sport:
A wide range of sports facilities and activities.International Support:
Support services for international students, including visa and immigration advice.Student Life and Campus Experience:
University of Gloucestershire offers a vibrant and supportive student community. Students can expect to:
Join a vibrant student community:
With over 80 societies and sports clubs, there are plenty of opportunities to meet new people and pursue interests.Live in modern accommodation:
The university offers a range of accommodation options, including halls of residence and university-approved private housing.Experience a diverse campus environment:
The university has campuses in Cheltenham and Gloucester, offering a range of cultural and social experiences.Key Reasons to Study There:
High graduate employability:
95% of University of Gloucestershire graduates are in work or further study within 15 months of graduating.Guaranteed first-year accommodation:
The university guarantees a place in halls on or near campus for all first-year students.Vibrant student community:
With over 80 societies and sports clubs, there are plenty of opportunities to meet new people and pursue interests.Award-winning university:
The university has been recognized for its teaching excellence and student satisfaction.Academic Programs:
University of Gloucestershire offers a wide range of academic programs across various subject areas, including:
- Accounting & finance
- Architecture, construction & environment
- Art
- Biosciences
- Business
- Criminology & policing
- Computing & cyber security
- Design
- Education & learning
- Engineering
- English & creative writing
- Film, media & television
- Game technologies
- Geography
- Health & social care
- History, religion & philosophy
- Hospitality, tourism & events
- Journalism & communications
- Law
- Marketing
- Music & sound
- Performing arts & production
- Photography
- Psychological sciences
- Sociological sciences
- Sport & exercise
Other:
The university has two main campuses:
Cheltenham Campus:
Located in the heart of Cheltenham, a vibrant town known for its festivals and cultural attractions.Gloucester Campus:
Located in Gloucester, a historic city with a thriving arts and culture scene.The university also has a strong commitment to sustainability and social responsibility. It has been recognized for its efforts in these areas, including being awarded first place in the People and Planet University League 2023-24.
Entry Requirements:
(EU Home Students and International Overseas Students)
- A minimum of 76 UCAS tariff points from level 3 qualifications, such as A-levels, BTECs, or other equivalent qualifications.
- A minimum of four GCSEs at grade C/4, including English Language and Mathematics.
- Completion of a Foundation Degree in a relevant subject may also be considered.
- No prior knowledge of data science is required, but students should have a strong interest in the subject and be prepared to study at a demanding level.
Additional Requirements for International Students:
- English Language Proficiency: International students whose first language is not English must demonstrate their English language proficiency by achieving one of the following:
- IELTS 6.0 with a minimum of 5.5 in each component.
- Pearson Test of English (PTE Academic) with a minimum score of 59.
- TOEFL iBT with a minimum score of 79.
- Other equivalent qualifications as approved by the University.
Note:
The University of Gloucestershire reserves the right to set additional entry requirements at its discretion.
Language Proficiency Requirements:
Other Admission Information:
- Applicants are encouraged to submit a personal statement outlining their motivations for studying data science and their career aspirations.
- The University may also consider work experience or other relevant qualifications when making admission decisions.
- All applicants are required to pay an application fee. ## Additional Resources:
- [University of Gloucestershire International Students website](https://www.glos.ac.uk/international/)
- [University of Gloucestershire English Language Requirements](https://www.glos.ac.uk/international/english-language-requirements/)