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Program Overview
Degree Apprenticeship Undergraduate: BSc (Hons) Data Science Data Scientist
Introduction
Enhance your understanding of data science and develop the skills to make a real impact in your workplace with our Data Science Degree Apprenticeship. Study for an honours degree in data science while you work, with no tuition fees.
Course Highlights
- Includes a hackathon-style bootcamp simulating the role of a data scientist in a real environment
- Study while you work, with no tuition fees
This course will develop your skills and expertise to interrogate data, systems and methodologies and prepare you for an exciting career as a data scientist or data engineer. This course is ideal if you've got a passion for computing and data and want to use your skills and knowledge to unlock insights, improve organisational processes and inform decision making.
Data Science, in particular coupled with Artificial Intelligence and Deep Learning, promises to provide the tools for enhanced technologies, business models and decision making across a large number of fields, from industrial automation, manufacturing, transport, banking, cyber security to health and social care.
You’ll acquire the fundamental knowledge and concepts of computer science relevant to data science, incorporating the theory, principles and operation of the underlying technologies and methodologies, which you will apply to real world problems.
The BSc (Hons) Data Science is delivered in a blended format combining teaching weeks on our Cambridge campus, together with online resources. Find the course map here.
Key Facts
- AWARD: BSc (Hons) Data Science
- LEVEL: Undergraduate
- STUDY OPTIONS: 3 years 9 months, inclusive of EPA
- START DATES: September
- LOCATION: Blended learning
- FEES: Degree apprenticeships are fully funded by your employer and the Government
Delivery and Assessment
- 4 years (part-time)
- An apprenticeship is a job with training, combining practical experience with academic learning.
- At least 20% of your contracted working hours will be classed as 'off-the-job'. This time will be dedicated to developing the knowledge and skills needed to meet the requirements of the apprenticeship, and therefore are not part of your usual work duties.
- The off-the-job learning will be delivered through online University-led learning sessions and activities, and practical learning experiences in your usual work setting.
- The Data Scientist Degree Apprenticeship is delivered in a blended format combining teaching weeks on our Cambridge campus, together with online resources.
Assessment
- You will be assessed at the end of each module you undertake (on-programme assessments) which will contribute towards the final award of your qualification.
- You will also undertake an End Point Assessment (EPA) to complete your apprenticeship.
- The EPA for this apprenticeship is integrated into the final on-programme assessments. Therefore, on successful completion of your degree, you will also complete the apprenticeship.
Modules
Core Modules
- Introduction to Data Science and Programming
- Relational Database Development
- Workplace Skills and Learning
- Enterprise Analytics
- Computational Concepts and Algorithms for Data Science
- Mathematics and Statistics
- Software Tools and Programming for Data Science
- Data Application Programming
- Data Engineering
- Principles of Data Science
- Principles of Artificial Intelligence
- Machine Learning and Data Engineering Bootcamp
- Time Series Analysis
- Apprenticeship Final Project
- Data Science Apprenticeship Portfolio
- Data Science End Point Assessment (EPA)
What Our Apprentices Say
- Izabela: "The apprenticeship allows me to see how business works in real life. I get a lot of knowledge from the course that I can apply in practice at work and equally learn from my colleagues. With an apprenticeship, you can really recognise how to apply the knowledge you've learnt to the real world.”
- Nee: "I am thoroughly enjoying the opportunity to learn through my apprenticeship. I am now able to advance alternative solutions to work problems that I would have struggled with before the apprenticeship."
- Beth: "I’m so happy that I chose this route. I’m very lucky to be getting a degree without the student debt, while earning and gaining valuable experience.”
Careers
Data has fast become one of the world’s most valuable resources, and the World Economic Forum estimates that by 2025 there will be 463 exabytes of data created globally every day.
Britain is facing “an explosive demand” for data science skills with data scientists and data engineers tripling over the past five years, rising 231% according to the report, “Dynamics of data science skills.” On average, salaries for these roles are £64,376, up 22% over the same period.
86% of data leaders report difficulty in hiring talent in the sector and half believe that skills shortages pose the greatest challenge to delivering value within their organisation.
Employers have highlighted the importance of data science and its potential to revolutionise many industries creating significant employment opportunities for data analysts, machine learning specialists and data specialists.
In this growing industry with countless new jobs arising, our Data Science BSc is an ideal foundation to a rewarding career in this exciting field.
Entry Requirements
- Employment in a suitable role on a permanent contract exceeding 30 hours per week
- Employer support to undertake this course, with a confirmed, assigned Clinical Designated Facilitator
- Confirmed eligibility to be funded as an apprentice as set out within the ESFA’s Funding Rules
- A completed Skills Scan and Initial Assessment discussion
- Evidence of Level 2 qualifications in 5 subjects including Maths and English e.g. GCSEs at Grade C/4 or above, Functional Skills, or ESFA-approved equivalents*
- Evidence of at least 96 UCAS Tariff points at Level 3 including at least one STEM (Science, Technology, Engineering, Maths) subject e.g. A Levels (or equivalent)**
Accredited Prior Learning
We are pleased to offer advanced entry into year 2 of this programme for applicants who have successfully completed the L4 Data Analyst Apprenticeship with Cambridge Spark.
Teaching at ARU
Degree apprenticeships are delivered via a blend of face-to-face campus teaching, work-based learning and online teaching supported by our established online learning systems to provide additional support for individual study and engagement. The mix of this blended approach varies between apprenticeships.
Program Outline
Degree Overview:
Enhance your understanding of data science and develop the skills to make a real impact in your workplace with our Data Science Degree Apprenticeship. Study for an honours degree in data science while you work, with no tuition fees.
Outline:
This course will develop your skills and expertise to interrogate data, systems and methodologies and prepare you for an exciting career as a data scientist or data engineer. This course is ideal if you've got a passion for computing and data and want to use your skills and knowledge to unlock insights, improve organisational processes and inform decision making.
- Includes a hackathon-style bootcamp simulating the role of a data scientist in a real environment
- Study while you work, with no tuition fees
Assessment:
You will be assessed at the end of each module you undertake (on-programme assessments) which will contribute towards the final award of your qualification. You will also undertake an End Point Assessment (EPA) to complete your apprenticeship. The EPA for this apprenticeship is integrated into the final on-programme assessments. Therefore, on successful completion of your degree, you will also complete the apprenticeship.
Teaching:
The Data Scientist Degree Apprenticeship is delivered in a blended format combining teaching weeks on our Cambridge campus, together with online resources.
Careers:
Data has fast become one of the world’s most valuable resources, and the World Economic Forum estimates that by 2025 there will be 463 exabytes of data created globally every day. Britain is facing “an explosive demand” for data science skills with data scientists and data engineers tripling over the past five years, rising 231% according to the report, “Dynamics of data science skills.” On average, salaries for these roles are £64,376, up 22% over the same period. 86% of data leaders report difficulty in hiring talent in the sector and half believe that skills shortages pose the greatest challenge to delivering value within their organisation. Employers have highlighted the importance of data science and its potential to revolutionise many industries creating significant employment opportunities for data analysts, machine learning specialists and data specialists. In this growing industry with countless new jobs arising, our Data Science BSc is an ideal foundation to a rewarding career in this exciting field.
Overview:
Anglia Ruskin University (ARU) is a global university with students from 185 countries. It is known for its innovative and entrepreneurial approach to education and research. ARU has been recognized as the Times Higher Education University of the Year 2023 and has received a Gold award for the quality of its education in the Teaching Excellence Framework.
Services Offered:
Student Life and Campus Experience:
The context mentions that ARU is committed to creating a vibrant and welcoming environment for students, staff, and communities. It also highlights the university's focus on providing outstanding facilities and opportunities for student growth.
Key Reasons to Study There:
Ambition:
ARU is academically ambitious for its students and strives to provide high-quality education.Excellence:
ARU is ranked in the top 15% of universities in the UK for graduate employment and has been recognized for its excellence in education, social work, and sports science.Collaboration:
ARU fosters collaboration between students, businesses, and partners, and its courses are recognized by industry and professionally accredited.Impact:
ARU conducts impactful research that addresses pressing issues and makes a difference in the community.Enterprise:
ARU encourages entrepreneurship and provides mentorship, support, and start-up funding through the Anglia Ruskin Enterprise Academy.Enthusiasm:
ARU's can-do attitude and infectious enthusiasm set it apart from other universities.Academic Programs:
The context mentions that ARU offers a wide range of courses, including undergraduate, postgraduate, postgraduate research, college courses, apprenticeships, short courses, and distance learning programs. It also highlights the university's commitment to providing career-ready graduates.
Other:
The context mentions that ARU has campuses in Cambridge, Chelmsford, Peterborough, and Writtle. It also highlights the university's commitment to sustainability, equality, diversity, and inclusion.
Entry Requirements:
- Employment in a suitable role on a permanent contract exceeding 30 hours per week
- Employer support to undertake this course, with a confirmed, assigned Clinical Designated Facilitator
- Confirmed eligibility to be funded as an apprentice as set out within the ESFA’s Funding Rules
- A completed Skills Scan and Initial Assessment discussion
- Evidence of Level 2 qualifications in 5 subjects including Maths and English e.g. GCSEs at Grade C/4 or above, Functional Skills, or ESFA-approved equivalents
- Evidence of at least 96 UCAS Tariff points at Level 3 including at least one STEM (Science, Technology, Engineering, Maths) subject e.g. A Levels (or equivalent)
- If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.0 or equivalent English language qualification, as recognised by ARU.
Language Proficiency Requirements:
If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.0 or equivalent English language qualification, as recognised by ARU.
