Entry Requirements

• BTEC Level 3 qualification in Computing, Business or Creative Digital Media Production
• GCE Advanced Level profile that demonstrates strong performance in a relevant subject or adequate performance in more than one GCE subject. This profile is likely to be supported by GCSE grades at A* to C (or equivalent) and/or 9 to 4 (or equivalent) in subjects such as maths and English
• other related Level 3 qualifications
• Access to Higher Education Diploma from an approved further education institution
• relevant work experience

or

• an international equivalent to the above qualifications

Course Structure

Here is an overview of the key components typically covered in the program:

Core Units

These units provide a broad understanding of digital technologies and their applications in various industries. Topics covered will be:

Level 4 Units (year 1):

• Unit 1: Professional Practice in the Digital Economy Unit 2: Innovation & Digital Transformation
• Unit 3: Cyber Security
• Unit 4: Programming
• Unit 5: Big Data & Visualisation
• Unit 6: Networking in the Cloud
• Unit 10: Database Design & Development
• Unit 12: Data Analytics

Level 5 units (year 2):

• Unit 19: Business Intelligence
• Unit 20: Internet of Things
• Unit 21: Emerging Technologies
• Unit 28: Risk Analysis & Systems Testing
• Unit 29: Applied Analytical Models
• Unit 30: Business Information Technology Systems
• Unit 41: Digital Sustainability
• Unit 42: Pitching and Negotiating Skills

Assessment & Feedback

Assignments

You will be required to complete various assignments that assess your understanding and application of theoretical concepts and practical skills related to data analytics. These assignments may include written reports, case studies, data analysis projects, and problem-solving exercises.

Practical Assessments

You may be assessed through practical assessments that evaluate your ability to apply data analytics techniques and tools in real-world scenarios. This could involve working on datasets, performing data cleaning and analysis, developing data models, and presenting your findings.

Examinations

Some units or modules may have written examinations that test your knowledge and understanding of specific topics within data analytics. These exams may consist of multiple-choice questions, short-answer questions, or longer essay-style questions.

Presentations

You may be required to deliver presentations on data analytics projects or assignments. This assesses your ability to effectively communicate your findings, explain analytical approaches, and justify your decisions.

Projects

A research project or a larger-scale data analytics project may be assigned, which typically requires you to plan, execute, and present your work. This allows you to showcase your skills in data analysis, problem-solving, project management, and critical thinking.

Course Cost

Adult, full_time: £7,000 per year

Attendance type: Full time

What Next...

This qualification can open up several career and educational pathways for you. Here are some options to consider:

Entry-Level Data Analyst

With your diploma, you could start your career as an entry-level data analyst. You might work with companies to collect, process, and analyse data to provide insights that drive business decisions.

Junior Data Scientist

Building on your data analytics skills, you might pursue a role as a junior data scientist. This role involves more complex analysis, including machine learning and predictive modelling.

Business Intelligence Analyst

Businesses rely on data to make informed decisions. As a business intelligence analyst, you could specialize in translating data into actionable insights to help companies improve their strategies.

Data Visualization Specialist

Data visualization is crucial for conveying complex information in a clear and visually appealing way. You might work on creating dashboards and reports that help stakeholders understand data trends.

Further Education

Your diploma can serve as a foundation for pursuing further education. You might choose to complete a bachelor's degree in data science, computer science, or a related field to deepen your knowledge and expand your career options.

Advanced Degrees

If you're interested in academic research or higher-level positions, you might pursue a master's or doctoral degree in data science, business analytics, or a related field.