Diphe Data Science (Undergraduate)

Data science is a fast-growing interdisciplinary field which combines statistics, machine learning, artificial intelligence and data analysis to extract insights from data. This two-year course will introduce you to the fundamentals of data science and data analysis and give you practical experience working with industry-standard tools, systems and programming languages. 

Through problem-based learning, practical computer-based workshops and group activities, you will gain the skills and knowledge you need to succeed, to an industry agreed standard..

What is a 'Diphe'? 

• A Diploma of Higher Education (DipHE) at Level 5 is awarded after two years of full-time study at university. Our DipHE programmes are hands-on and practical, with flexible learning options available so you can choose to study full or part time.  
• You can take a DipHE straight from college when you have completed qualifications like BTECs or A-Levels. Some people choose to take a gap year first or spend some time working before they start a DipHE.  
• Diplomas of Higher Education are perfect for people who want a university experience, but do not want to take a full undergraduate degree qualification. You get the support and teaching quality of a degree but don’t have to commit to three years of study before you begin. A DipHE can lead directly to a career as you will have gained valued skills and experience, or you might choose to continue with further studies.  

You will:

• Be studying at a university with longstanding links in Data Science, giving you maximum employment and placeholder opportunities
• Broaden your understanding of data science, machine learning and AI, some of the most 'in demand' skills in the modern economy
• Gain experience using programming languages such as Python and SQL
• Learn through hands-on exercises, group activities and live industry briefs, and work with messy, real-world datasets in realistic, problem-based scenarios
• Build the practical skills you need for a broad range of career paths within data science and data analysis
• Develop your skills using a wide-range of industry-standard tools for data visualisation, statistical analysis and Big Data analytics

This is for you if

• You are interested in finding out more about Artificial Intelligence, machine learning and Big Data
• You have an enquiring mind, with a practical and analytical approach to problem solving
• You enjoy working with data to spot patterns and trends or to solve problems

Course Delivery

• This course has been designed alongside our industry partners to ensure that it meets the needs of industry. Modules that make up the programme have been developed as new learning experiences bespoke to the course, which will give you a concentrated two-year experience to prepare you for employment or top-up study.

Find out more about the modules below. The structure reflects a two-year full-time route:

Year one

• Introduction to Data Analysis with Python
• Databases
• Probability and Statistics
• Data Visualisation
• Machine Learning
• Introduction to Business Intelligence

Year two

• Artificial Intelligence & Deep Learning
• Professional Practices
• Big Data Analytics
• Text Mining and Natural Language Processing
• Data Science Project
• Digital Leadership & Management

Teaching

• The focus of this course is on practical, problem-based activities and on applying your learning through hands-on exercises in computer-based laboratories.
• Combined workshops and lectures will be used to introduce the theory that underpins the field, and to practise applying this knowledge in individual and group activities
• Computer-based laboratories will be used to provide practical, hands-on experience using a range of industry standard tools, systems and programming languages.

Assessment

• A variety of assessments are used within this programme including practical assessments, written assignments, oral presentations and examinations.