Modules

The MSc Data Science is made up of the following modules and, upon completion, is equal to a total of 180 credits at Level 7. The Data Professional (20 credits)* Numerical Analysis (20 credits) Deciphering Big Data (20 credits) Visualising Data (20 credits) Machine Learning (20 credits) Research Methods and Professional Practice (20 credits)* MSc Computing Project (60 credits)*

• Core module (must be passed in order to achieve the award)

Assessment method

Teaching methods Studying online gives you the freedom to study when and where it suits you – at home, during your lunch hour or anywhere else you have internet access. Our courses are delivered through a virtual learning environment (VLE) instead of a traditional campus. This means you will have access to your study materials 24/7, including: multimedia lecturecasts made up of written content, short videos, animation, audio recordings, infographics, short tests and mini-assignments discussion forums for you to chat about the course content with fellow students live seminar sessions with your tutors a comprehensive eLibrary of textbooks and academic journals support from academic staff and your dedicated Student Support team To ensure you receive the support you need from your tutor, we cap our class sizes at around 20 students. In order to meet the technical requirements for this course, students will need access to a computer with at least 8GB RAM. Assessment methods Our varied assessment methods allow you to demonstrate your understanding of the course content in a wide range of ways. This can be by engaging in discussion forums throughout your modules, completing programming exercises, participating in team projects, completing reflective journal entries and an e-portfolio, by submitting longer written pieces or by undertaking timed open-book tests at home, without the need to travel to an assessment centre. We are committed to providing frequent and transparent feedback through the following ways: Our assessment criteria are designed to be simple and transparent. You will always be aware of your current provisional grade, right from the start of the programme. You will be able to view your marks clearly in your gradebook whenever you log onto the learning platform. There is a 7-day turnaround for marking and feedback of assessed work. You will have regular contact with your Student Support team, with whom you can discuss any concerns as soon as they arise. Study duration Our MSc Data Science has an indicative study duration of 2 years, which is a guide to how long your course will take to complete. The actual duration may be longer or shorter depending on your speed of study, study options chosen and module availability. It’s possible to complete your studies faster than the indicative course duration by doubling up on modules at certain times; however, minimum study durations do apply. Our academic year is organised into modules, typically with a one- or two-week break between modules and a structured three-week break for the Christmas period. Students will receive a course timetable during the application process. All of our courses have regular start dates throughout the year. On successful completion of your degree, you will be invited to attend a graduation ceremony at the University of Essex, Colchester Campus.