Digital and Technology Solutions Specialist (Data Analytics) Masters Degree Apprenticeship
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
This Master's Degree Apprenticeship in Digital and Technology Solutions (Data Analytics) equips individuals with the skills to analyze and interpret data using industry-standard software. The program covers data management, interpretation, and project management, preparing graduates for careers as data analysts, data scientists, and other data-driven roles. It offers flexibility to accommodate diverse backgrounds and provides opportunities for professional qualifications and industry collaborations.
Program Outline
Objectives:
- Train data specialists who can effectively analyze and interpret data using industry-standard software.
- Develop advanced skills in quantitative methods, data analysis, communication, and business intelligence.
- Equip graduates with the tools and knowledge to tackle real-world data challenges across various industries.
Outline:
The program structure focuses on three core areas:
- Data Management: Covers data structuring and manipulation techniques for optimal analysis.
- Data Interpretation: Explores Machine Learning and statistical analysis methods using industry-standard software (R, SAS, Python).
- Project Management: Equips students with the tools and skills to approach data analytics projects from a strategic business perspective.
Modules:
- Core Modules:
- Introduction to Statistical Data Analysis with R
- Business Analytics Strategy and Practice
- Data Management
- Data Mining and Knowledge Discovery in Data
- Final Apprenticeship Project in Data Analytics
- Optional Modules:
- Risk Analysis and Retail Finance
- Multivariate Analysis and Statistical Modelling
- Medical Statistics
- Programming for Analytics with SAS
- Project in Statistical Data Analysis with R
- Machine Learning and Artificial Intelligence
- The Analysis of Time Series
- Flexibility: The program offers adaptation to accommodate students' backgrounds and interests.
Assessment:
Evaluations are conducted through various methods:
- Presentations: Effective communication of findings and research.
- Practical Assignments: Hands-on application of skills and knowledge using industry-standard software.
Teaching:
The program employs a blend of teaching methods:
- Lectures: Conveying core concepts and theoretical frameworks.
- Tutorials: In-depth exploration of specific topics and individualized guidance.
- Workshops: Hands-on learning through practical exercises and data analysis tasks.
Teaching Staff:
Highly qualified faculty with expertise in various data analytics fields, including:
- Dr. Sónia Timóteo Inácio: Course Leader, specializing in data mining and machine learning.
- Dr. Alexey Chernov: Expertise in mathematical foundations of Machine Learning and Artificial Intelligence.
- Dr. Anestis Touloumis: Research focusing on novel statistical methods and R software development.
Careers:
Graduates can pursue diverse career paths in various industries, including:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Quantitative Analyst
- Market Research Analyst
- Statistical Modeler
- Data Management Specialist
Other:
- Uniquely designed to cater to non-specialist backgrounds.
- Apprenticeship offers 20% of paid working hours for studies and off-the-job learning.
- Focus on research-informed learning and critical thinking.
University of Brighton
Overview:
The University of Brighton is a public university located in Brighton, England. It offers a wide range of undergraduate and postgraduate courses across various subject areas. The university is known for its strong focus on employability and its commitment to providing a supportive learning environment.
Services Offered:
The university provides a comprehensive range of services to its students, including:
Accommodation:
University halls and homes are available for students, along with assistance in finding private accommodation.Financial Support:
Fees and financial support information is provided, including the Brighton Boost program offering extra financial help.Student Support:
Advice and guidance are available for students, parents, and carers, along with support for wellbeing, study skills, and careers.Research:
The university conducts research across various disciplines, with opportunities for postgraduate research degrees and PhD funding.Employability:
The university offers resources and support to help students develop their career prospects and find employment after graduation.Student Life and Campus Experience:
The university offers a vibrant campus life with various opportunities for students to engage in social activities, clubs, and societies. The university has multiple campuses located in Brighton and Eastbourne, providing a diverse and engaging campus experience.
Key Reasons to Study There:
Strong Employability:
The university is ranked in the top 30% for graduate earnings and has a high percentage of graduates in work or further study.Supportive Learning Environment:
The university provides a range of support services to help students succeed in their studies.Diverse Academic Programs:
The university offers a wide range of undergraduate and postgraduate courses across various subject areas.Vibrant Campus Life:
The university offers a vibrant campus life with various opportunities for students to engage in social activities, clubs, and societies.Location:
The university is located in Brighton, a popular seaside city with a thriving cultural scene.Academic Programs:
The university offers a wide range of academic programs, including:
Arts and Humanities:
Art, Design, Media, Music, English, History, and more.Business and Law:
Business, Management, Finance, Law, and more.Science and Technology:
Engineering, Computing, Biology, Chemistry, and more.Health and Social Care:
Nursing, Midwifery, Social Work, Psychology, and more.Other:
The university has received various awards and accreditations, including:
Teaching Excellence Framework (TEF) Silver Award:
Recognizing the quality of teaching and learning at the university.Athena Swan Gender Charter - Silver Award:
Demonstrating the university's commitment to gender equality.Race Equality Charter Bronze Award:
Recognizing the university's commitment to racial equality.Stonewall LGBTQ+ Inclusive Employer Gold Award:
Recognizing the university's commitment to LGBTQ+ inclusion.Disability Confident Employer logo:
Demonstrating the university's commitment to employing disabled people.EcoCampus Platinum Award:
Recognizing the university's commitment to sustainability.Customer Service Excellence Award:
Recognizing the university's commitment to providing excellent customer service.Entry requirements
The entry requirements for the Digital and Technology Solutions Specialist (Data Analytics) Masters Degree Apprenticeship are as follows:
Academic qualifications:
- A 2:1 or higher degree in any subject and some knowledge and skills in data analysis, statistics and programming
- A 2:2 or higher degree in a relevant subject such as mathematics, statistics, data mining or artificial intelligence
English language proficiency:
- IELTS 6.5 overall with 6.0 in writing
Other requirements:
- Level 2 qualifications in English and maths
Language proficiency requirements
The language proficiency requirements for the Digital and Technology Solutions Specialist (Data Analytics) Masters Degree Apprenticeship are:
- IELTS 6.5 overall with 6.0 in writing
Note:
International overseas students outside the EU are also subject to these same entry requirements.
