Overview

The Advanced Data Science MSc is a taught Master's degree that equips students with the knowledge and skills to solve real-world challenges and unlock powerful insights for organisations. The programme is guided by an Industrial Advisory Board, which includes representatives from leading industry partners such as Google, Meta, and JP Morgan.

What You'll Learn

The course has three phases. Phase one introduces core knowledge and skills in statistics and computer science. Phase two consists of more advanced technical modules, as well as a group project. Phase three involves an individual research project, which provides an opportunity to develop knowledge and skills, work in a research or development team, and apply data science skills to real problems.

Modules

The course includes a range of modules, such as:

• Data Visualization
• Image Processing
• Data Science in the Wild (Group Project)
• Machine Learning with Project
• Deep Learning
• Project and Dissertation in Data Science
• Graduate Foundations of Statistics and Data Science Optional modules are also available, including:
  • Engineering for AI
  • Complex Data Visualization
  • Advanced AI
  • Generative AI for Businesses

How You'll Learn

The course is delivered through a range of methods, including seminars, lectures, practical classes, group and individual project work, guided independent reading, and self-directed learning. Assessment methods include dissertation, oral presentation, poster, report, and written examination.

Support

Students have access to a range of support services, including:

• Computing resources and infrastructure
• Wellbeing advisor support
• Student support from academic staff, personal tutors, and research supervisors
• Access to specialist teaching spaces and facilities in the Urban Sciences Building

Your Development

The course strengthens research skills through an extended research project and provides practical expertise by engaging with real-world challenges in Data Science and Artificial Intelligence. Students develop skills in:

• Designing and implementing intelligent software systems for data-driven tasks
• Applying computing, mathematical, and statistical techniques to data storage and analysis
• Using modern programming languages, libraries, and AI frameworks
• Building, training, and evaluating predictive models across a range of data domains

Your Future

The course prepares students for a wide range of careers, including roles as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Research Data Scientist, Quantitative Analyst, and AI Specialist. Graduates have undertaken various roles, including Senior Software Engineer, Data Analyst, Data Engineer, and Data Scientist.

Industry Links

The course has strong industry links, with an Industrial Advisory Board that includes representatives from leading companies such as Google, Meta, and JP Morgan. Students have access to industry-sponsored projects and potential employment opportunities upon graduation.

Quality and Ranking

The University has a strong reputation for research excellence, with 42% of its research classified as 4* world-leading. The course is accredited by the British Computer Society (BCS) and provides a route into PhD level study.

Facilities

The School of Computing is based in the £58 million Urban Sciences Building, which provides specialist teaching spaces and facilities. Students have access to cutting-edge technology, including data visualisation technology and high-performance computing environments.

Fees and Funding

Tuition fees for the course are £14,500 for home students and £31,700 for international students. The University offers a range of scholarships and funding opportunities, including Vice-Chancellor's automatic and merit-based scholarships.

Entry Requirements

The course requires a 2:1 BSc honours degree or international equivalent in a relevant subject, such as computer science, mathematics, statistics, or an engineering discipline with programming experience. English language requirements also apply, with a minimum IELTS score of 6.5 or equivalent.

Admissions Policy

The University's admissions policy applies to all undergraduate and postgraduate admissions. The policy provides information about admissions procedures and requirements.

How to Apply

The course starts in September, and there is no application closing date. International students are advised to apply at least two months before the course starts. A deposit of £1,500 is required for international students who need a visa to study in the UK. The application portal provides instructions and guidance on the application process.

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Data Science MSc, PGCert

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Degree Overview:

This Data Science MSc and PGCert program equips students with the knowledge, experience, and expertise to solve real-world problems and translate data-driven insights into actionable solutions for organizations. Addressing the industry's skills shortage in data analytics, this program offers a comprehensive grounding in the theory and application of data science.

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Outline:

The Data Science MSc and PGCert program consists of three phases:

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Phase 1:

• Introduces students to core knowledge and skills in statistics and computer science.
• These modules are taught intensively, with full-time students taking two modules simultaneously.
Part-time students have a tailored schedule to accommodate their needs.

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Phase 2:

• Consists of more advanced technical modules and a group project.
• Introduces students to various aspects of data science practice, including professionalism, legislation, and ethics.
• The group project involves collaboration with industry members to develop and evaluate a data science solution for a complex real-world problem.

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Phase 3:

• Individual research and development project.
• Conducted under personal supervision in a school research lab, with industry partners, or the student's current employer.
• Provides students with an opportunity to develop their knowledge and skills by working in a research or development environment.

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Assessment:

• Assessments include a portfolio of practical work with an oral interview.
• No written examinations are included.
• Additional assessments include individual and group-based projects, potentially collaborating with regional and national industry and charitable organizations.

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Teaching:

• The program is delivered by the School of Computing and the School of Mathematics, Statistics and Physics.
• Part-time students have the flexibility to complete the course over two years.

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Careers:

• The program equips graduates with valuable skills and knowledge for a variety of career paths in the data science field, including:
• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Data Architect
• Business Intelligence Analyst

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Other:

• The program welcomes students from diverse backgrounds and encourages applications from individuals with strong relevant work experience.
• Students are encouraged to participate in industry placements and projects to gain practical experience and network with potential employers.

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Overview:

Newcastle University is a public research university located in Newcastle upon Tyne, England. It is known for its high-quality research and teaching, and its commitment to social justice and engagement.

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Services Offered:

The university offers a wide range of services to students, including: *

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Careers Service:

Provides guidance and support with career planning, job applications, and internships. *

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Library:

Offers extensive resources, including books, journals, databases, and study spaces. *

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Student Support:

Provides a variety of services to help students succeed, including academic support, counseling, and disability services. *

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Accommodation:

Offers a range of on-campus accommodation options, including halls of residence and self-catered apartments. *

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Sport:

Provides access to a variety of sports facilities and activities.

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Student Life and Campus Experience:

Newcastle University offers a vibrant and diverse campus experience. Students can get involved in a wide range of clubs and societies, attend events and lectures, and enjoy the city's nightlife and cultural attractions.

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Key Reasons to Study There:

High-quality research and teaching:

Newcastle University is consistently ranked highly in national and international league tables.

Strong focus on employability:

The university has a strong track record of preparing graduates for successful careers.

Vibrant and diverse campus community:

Students can enjoy a welcoming and supportive environment.

Excellent location:

Newcastle is a thriving city with a rich history and culture.

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Academic Programs:

Newcastle University offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including: *

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Science, Agriculture & Engineering

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Humanities & Social Sciences

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Medical Sciences

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Other:

• The university has a strong commitment to sustainability and social justice.
• It is home to a number of research centers and institutes, including the Centre for Ageing and Inequalities and the Centre for Data.
• Newcastle University is a member of the Russell Group, a group of 24 leading research-intensive universities in the UK.