Data Science and its Applications (Medway), MSc
| Program start date | Application deadline |
| 2024-09-01 | - |
| 2024-01-01 | - |
Program Overview
The MSc in Data Science and its Applications provides a comprehensive grounding in data science theory and practice. With optional modules in specialized applications, this flexible program prepares students for careers in data science, regardless of their academic background. Graduates are equipped with the skills to analyze, solve, and evaluate data-heavy projects, opening up opportunities in various industries. The program also offers scholarships to underrepresented student groups.
Program Outline
Degree Overview:
Our MSc degree in Data Science and its Applications is designed to provide students with a solid grounding in data science theory and practice. The MSc in Data Science and its Applications course has been designed to increase the skilled workforce and diversity of qualified data science experts in the global market regardless of your academic background. Whether transitioning into data science roles or exploring specialised areas, this course equips you with practical skills to analyse, solve, and evaluate data-heavy projects – essential for both employment and further studies. Explore a range of captivating topics in modern data science and apply your data handling skills to real-world issues across various fields. This one-year full-time, 2-year part-time course offers flexibility with optional modules in different data science applications, allowing you to tailor your learning to your interests and career goals. Graduates find opportunities in private and public companies, government, and non-governmental organisations. Join us on this dynamic learning journey and unlock the potential of data science for your future career. This course also offers scholarships (£10,000 each) that are available exclusively for UK domicile students who are female, black, disabled, or from a low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income).
Outline:
Full Time Year 1
- Compulsory Modules:
- Databases and Data Infrastructure (10 credits)
- Ethics and Governance (10 credits)
- Group Project (30 credits)
- Individual Project (30 credits)
- Machine Learning and its Applications (15 credits)
- Principles of Data Science (15 credits)
- Programming for Data Science (15 credits)
- Research Project Management (10 credits)
- Mathematics and Statistics for Data Science (15 credits)
- Optional Modules (Choose 30 credits):
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Part Time Year 1
- Compulsory Modules:
- Machine Learning and its Applications (15 credits)
- Programming for Data Science (15 credits)
- Mathematics and Statistics for Data Science (15 credits)
- Optional Modules (Choose 15 credits):
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Year 2 (Part-Time Only)
- Compulsory Modules:
- Databases and Data Infrastructure (10 credits)
- Ethics and Governance (10 credits)
- Group Project (30 credits)
- Individual Project (30 credits)
- Principles of Data Science (15 credits)
- Research Project Management (10 credits)
- Optional Modules (Choose 15 credits):
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Assessment:
- Students are assessed by coursework, examinations, and a project.
- Some modules may also include 'practice' assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement.
- We aim to give feedback on assignments within 15 working days.
Teaching:
- In a typical week, learning takes place through a combination of lectures, tutorials, and practical work in the labs.
- You'll be able to discuss and develop your understanding of topics covered in lectures in smaller group sessions, and apply this knowledge in practice in the specialised computer laboratories.
- Teaching hours may fall between 9am and 9pm, depending on your elective courses and tutorials.
- Lectures are usually attended by larger groups and seminars/tutorials by smaller groups. This can vary more widely for modules that are shared between degrees.
- Outside of timetabled sessions, you'll need to dedicate time to self-study to complete coursework, and prepare for presentations and exams.
- The programme team are experienced academic and industry professionals, with many years of experience in various aspects and applications of Data Science.
Careers:
- Graduates from the MSc Data Science and its Applications course are equipped for a career in Data Science and its applications or progress further in their field of choice.
- The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews, and employability skills workshops.
- Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.
Other:
- The course offers £10,000 scholarships available to eligible students.
- The course is designed to help you move into a career in a computer-related subject.
- The course will provide you with a solid foundation in programming and mathematical skills needed to move to a career in Data Science and its applications.
- The course will enhance your employability prospects in a fast-growing application sector. This helps you liaise with industry for advice on careers, professional insight, job-hunting, and you'll also develop skills to boost your employability.
- Home fees: £11,000
- International fees: £18,150
University of Greenwich: A Summary
Overview:
The University of Greenwich is a public university located in London and Kent, England. It boasts three campuses: Greenwich, Avery Hill, and Medway. The university is known for its diverse student body, with students from over 150 countries, and its commitment to providing a high-quality student experience.
Services Offered:
The University of Greenwich offers a wide range of services to its students, including:
Accommodation:
On-campus accommodation options are available at all three campuses.Careers:
The university provides career guidance and support services to help students find employment after graduation.Student Support:
A variety of support services are available to students, including academic advising, counseling, and disability support.Financial Aid:
Scholarships and bursaries are available to help students finance their studies.Digital Student Centre:
A digital platform offering support for new and returning students.Student Life and Campus Experience:
The University of Greenwich offers a vibrant and diverse campus experience. Students can expect:
Lively Students' Union:
Each campus has a Students' Union that organizes social events, clubs, and societies.Modern Facilities:
The university has invested in modern facilities, including libraries, labs, and sports centers.Excellent Transport Links:
All campuses are easily accessible by public transport, with connections to central London.Campus Bus Service:
A bus service connects the three campuses.Key Reasons to Study There:
Award-Winning Research:
The university is recognized for its high-quality research, which has won numerous awards.Gold in the Teaching Excellence Framework (TEF):
This recognition highlights the university's commitment to providing an outstanding student experience.Diverse Community:
The university welcomes students from all over the world, creating a diverse and inclusive learning environment.Flexible Learning Options:
The university offers a range of flexible learning options, including online and part-time study.Strong Graduate Prospects:
The university has a strong track record of graduate employment, with many graduates going on to successful careers.Academic Programs:
The University of Greenwich offers a wide range of undergraduate and postgraduate programs across various disciplines. Some of the key academic strengths include:
Business and Management:
The university is known for its strong business programs, including MBA and MSc programs.Engineering and Technology:
The university offers a range of engineering and technology programs, including civil engineering, mechanical engineering, and computer science.Arts and Humanities:
The university has a strong reputation in the arts and humanities, with programs in English literature, history, and creative writing.Health and Social Care:
The university offers a range of health and social care programs, including nursing, social work, and psychology.Other:
- The university has a strong commitment to sustainability and has launched a university-wide transformation for a Greener future.
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The university is home to the Greenwich Portraits series, which celebrates the diverse journeys of its students and alumni.
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Student Life and Campus Experience:
While the context mentions the Students' Union and facilities, it does not provide detailed information on student life and campus experiences.
Key Reasons to Study There:
The context mentions some advantages, but it does not explicitly highlight the key reasons to study at the University of Greenwich.Entry Requirements:
- UK citizens and permanent residents:
- Hold an undergraduate (honours) degree at 2:2 or above, in any non-STEM (e.g economics, business, arts) or far-STEM subject (e.g. biology, geography, psychology, medicine), and GCSE Mathematics grade 4/C or equivalent.
- Applicants with an undergraduate or postgraduate degree in the same broad subject area as this course (e.g computer science, AI, data science) or in a core-STEM subject (e.g. physics, engineering, mathematics, statistics, IT) will be considered for MSc Data Science, a specialist course designed for applicants with this background.
- Priority will be given to applicants who are women, black, disabled or from low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income).
- To be considered for scholarships, applicants must:
- Provide a personal statement explaining which of the scholarship eligibility criteria they meet, why they are applying for the course and the scholarship, and how they think this scholarship will help them on the course and their future aspirations (300 words maximum).
- International entry requirements:
- The University of Greenwich accepts a broad range of international qualifications for admission to its courses.
