BSc (Hons) Computer Science (Applied Data Science) (Top Up) (Online)
Why choose this course?
- Study where and when you want, fitting in with other commitments such as work or family
- Our online degrees are based on their on-campus equivalents with the same academic quality standards
- Top up your HND or Foundation Degree to a full BSc
This online data science top up degree is ideal if you’re looking to study flexibly and top up your HND or foundation degree level qualification to a full Bachelor of Science (BSc).
You will have flexibility in your studies: This course is taught solely online, with most presentations recorded, giving you the convenience to study around your other commitments.
Co-curricular opportunities will boost your employability: You can take part in activities such as the AWS Academy Cloud Foundations, for which you'll receive a course completion certificate, but also be able to go for the AWS Cloud Practitioner certification, an industry recognised accreditation. Workshops introducing programming languages such as JavaScript and Python and client-side web technologies including HTML5 and CSS are also available to you.
Excellent employment prospects: Computer science graduates are in high demand. 93% of Herts graduates are in work or further study 15 months after graduating (Graduate Outcomes 2021/22).
What's the course about?
This data science top up degree allows you to top up a good HND or foundation degree in computer studies or software engineering (or an equivalent qualification) to a full bachelor's degree.
Based on the BSc Computer Science (top up) course that runs on campus, this online course shares the academic standards and processes, and is recognised worldwide. You will not need to attend timetabled teaching sessions; instead, the course is designed to fit around your schedule, so you have flexibility in when and where you study.
You will learn about accessibility and usability issues and study in a team to complete a data science project. Modules also cover artificial intelligence, software development, databases, algorithms and data structures, operating systems and networks.
You will study cybersecurity and contemporary issues in the social, professional, ethical and legal aspects of computing. You'll also start specialising in applied data science, learning about data mining and visualisation, principles of data science, machine learning and neural networks. Finally you will complete an individual project; this is your opportunity to apply what you've learnt on a topic of interest to you. You'll be guided by an academic supervisor throughout the project.
What will I study?
This course is taught 100% online, giving you flexibility to study when and where you want.
You will be provided with a suite of learning materials, supporting you to produce your best work: You’ll have access to a comprehensive digital library, including research papers and e-books, as well as a Virtual Learning Environment (VLE) with features to support your learning such as discussions forums, quizzes and practice assignments. This is also a central place where you can find the learning materials for your modules and interact with tutors and other students on the course
Most modules have a minimum of four hours of online sessions, and presentations are usually recorded.
You will have the support of your tutors via online discussions or optional live sessions. You will also be part of our online learning community, and our students tend to use this to support each other.
