48 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSci
Study Level
Undergraduate
Study Mode
On Campus
There has never been a more exciting time to study data science. Digital data tracks every part of our lives and Data Scientists are essential to understanding that data and how it can be used to shape algorithms, artificial intelligence, statistical tools, and businesses. As a data science student, you will gain hands-on experience with a range of industry-standard software and tools used in both computing and data analysis. Prepare to tackle the systems that shape our world and take the next step towards an exciting career.
What to expect
Our four-year MSci Data Science (Industrial Experience) degree begins by introducing you to fundamental principles and concepts in computer science and statistics and how they are applied. You will gain skills in data analysis, problem-solving, and quantitative reasoning, alongside key mathematical methods. And, with this knowledge you will analyse data and draw on case studies to provide real-world solutions.
Going into Year 2, you will be able to delve deeper into what intrigues you most and specialise your studies towards a specific career path. This includes developing your understanding of linear algebra, probability, and statistics and building skills in programming and software design. You will gain insight into the challenges encountered by a range of industries by facing real-world scenarios and considering their solutions and wider impact through lectures and workshops. During this time, you will also enhance your research and employment skills through individual and group projects.
In Year 3, it is over to you! You will specialise your interests further by choosing from a range of optional topics in computer science and mathematics. Alongside this, you will undertake an individual data science project in collaboration with one of our academics, where you will further develop the skills and knowledge needed to thrive in your future career.
Master’s-level training
In Year 4, you will develop the skills and knowledge required to thrive in your future career, whether in industry or research. You will spend 10-15 weeks in industry, gaining valuable real-world experience. To complement this, you will study a range of modules, advancing your academic knowledge with a focus on independent and critical study.
Personal development
Throughout your degree, you will develop valuable transferrable skills such as teamwork, problem-solving, and communication, which make you highly desirable to future employers. The practical skills you gain in data analysis, software design, and testing prepare you for applications in the real world, and your insight into statistics and AI will make you a unique candidate prepared to face the challenges of the future. You will also learn how to collaborate, research, and present your findings, developing solutions as part of a team and as a leader. With industrial experience added to your CV, you will be a standout graduate.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSci
Study Level
Undergraduate
Study Mode
On Campus
There has never been a more exciting time to study data science. Digital data tracks every part of our lives and Data Scientists are essential to understanding that data and how it can be used to shape algorithms, artificial intelligence, statistical tools, and businesses. As a data science student, you will gain hands-on experience with a range of industry-standard software and tools used in both computing and data analysis. Prepare to tackle the systems that shape our world and take the next step towards an exciting career.
What to expect
Our four-year MSci Data Science (Industrial Experience) degree begins by introducing you to fundamental principles and concepts in computer science and statistics and how they are applied. You will gain skills in data analysis, problem-solving, and quantitative reasoning, alongside key mathematical methods. And, with this knowledge you will analyse data and draw on case studies to provide real-world solutions.
Going into Year 2, you will be able to delve deeper into what intrigues you most and specialise your studies towards a specific career path. This includes developing your understanding of linear algebra, probability, and statistics and building skills in programming and software design. You will gain insight into the challenges encountered by a range of industries by facing real-world scenarios and considering their solutions and wider impact through lectures and workshops. During this time, you will also enhance your research and employment skills through individual and group projects.
In Year 3, it is over to you! You will specialise your interests further by choosing from a range of optional topics in computer science and mathematics. Alongside this, you will undertake an individual data science project in collaboration with one of our academics, where you will further develop the skills and knowledge needed to thrive in your future career.
Master’s-level training
In Year 4, you will develop the skills and knowledge required to thrive in your future career, whether in industry or research. You will spend 10-15 weeks in industry, gaining valuable real-world experience. To complement this, you will study a range of modules, advancing your academic knowledge with a focus on independent and critical study.
Personal development
Throughout your degree, you will develop valuable transferrable skills such as teamwork, problem-solving, and communication, which make you highly desirable to future employers. The practical skills you gain in data analysis, software design, and testing prepare you for applications in the real world, and your insight into statistics and AI will make you a unique candidate prepared to face the challenges of the future. You will also learn how to collaborate, research, and present your findings, developing solutions as part of a team and as a leader. With industrial experience added to your CV, you will be a standout graduate.
Admission Requirements
Scholarships
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