| Program start date | Application deadline |
| 2024-09-01 | - |
| 2025-09-01 | - |
Program Overview
The Data Science (HTQ) CertHE program is a one-year intensive course designed to prepare students for careers in data analysis and artificial intelligence. The program covers both theoretical and practical aspects of data science, including Python, machine learning, and data visualization. Graduates are well-equipped for careers in various data-related roles, including junior data analyst and junior software developer. The program is currently pending validation and is offered full-time and part-time at Park Campus in Cheltenham.
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.
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.
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/)
