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Students
Tuition Fee
Start Date
Medium of studying
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Data Science | Data Analytics
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


This two-year Data Science program, beginning in September 2024, provides specialized skills and knowledge through lectures, practical sessions, and seminars. Graduates are well-prepared for careers in data science, including roles as data scientists, machine learning developers, and software engineers. The program culminates in a final project utilizing the department's research expertise.

Program Outline


Outline:

This course lasts 2 years. It starts in September 2024 and ends in 2026. They are not exhaustive lists and methods are subject to change. Learning Lectures Online resources Practical sessions Seminars Tutorials Assessment Coursework Essay Multiple choice examination Online assessment Practical work Thesis Written examination Other


Teaching:

You’ll be taught and assessed by a variety of methods and it will vary between units. These methods are designed to promote in-depth learning and understanding of the subject. Learning Lectures Online resources Practical sessions Seminars Tutorials Assessment Coursework Essay Multiple choice examination Online assessment Practical work Thesis Written examination Other


Careers:

After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Recent graduate roles include: data scientist, machine learning developer, Python developer and software engineer.


Other:

Project examples The research expertise in the department allows for a wide-range of subjects for your final project. Recent examples from Data Science students include: Deep learning in high frequency financial trading Spatiotemporal timing predictions in areas with a low density of public transport The impact of mindfulness meditation on multisensory transfer learning Career prospects After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Recent graduate roles include: data scientist, machine learning developer, Python developer and software engineer.

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Admission Requirements

Entry Requirements:

British qualifications You should have a first or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course, your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. English language requirements IELTS: 6.5 overall with no less than 6.0 in all components The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element TOEFL IBT: 90 overall with a minimum 21 in all 4 components

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