| Program start date | Application deadline |
| 2024-09-16 | - |
Program Overview
The MSc in Applied Data Science at the University of Sunderland equips students with the knowledge and skills to work in data science or data analytics. The program emphasizes practical application, industry collaboration, and a 100% coursework-based assessment method. Graduates are highly sought after by businesses and industries, with potential career paths including data scientist, data analyst, and machine learning engineer.
Program Outline
Degree Overview:
Overview:
The MSc in Applied Data Science is designed for students with computing, STEM experience, or prior experience in working with data (e.g., statistics) to gain the knowledge and skills required to work in data science or data analytics in the real world. This course aims to equip graduates with the skills to make the right decisions in our complex and uncertain world.
Objectives:
- Provide a strong foundation in the fundamentals of data science, data mining and machine learning.
- Develop the ability to apply data science techniques to solve real-world problems.
- Enhance critical thinking and problem-solving skills through data analysis.
- Equip students with the skills for effective collaboration and communication in the field.
Description:
This program is designed to be highly practical, offering students the opportunity to experience the latest technologies and tools used in the industry. Students will gain the confidence and knowledge to be productive and effective data scientists upon graduation.
Outline:
Program Content:
- The fundamentals of data science
- Data mining
- Machine learning
- Data analytics and visualization
- Security of big data
Structure:
The course is taught through a combination of lectures, group work, research, discussion groups, seminars, tutorials, and practical laboratory sessions. Compared to an undergraduate course, the Masters requires a higher level of independent working.
Course Schedule:
- Semester 1:
- Data Science Fundamentals (30 credits)
- Data Science Product Development (30 credits)
- Technology Management for Organisations (30 credits)
- Semester 2:
- Machine Learning and Data Analytics (30 credits)
- Computing Masters Placement (60 credits) OR Computing Masters Project (60 credits)
Modules:
Data Science Fundamentals (30 credits)
This module covers how to use different types of data, fuse multiple datasets, apply various analytics to them, and work with modern data science/big data platforms and languages. It also includes techniques and tools for presenting and visualizing the data.
Data Science Product Development (30 credits)
Students will learn how to design and develop a data science product to address a real-world problem. This includes performing a systematic literature review of state-of-the-art data science software technologies and project development methodologies, prototyping the product, and evaluating it with end users.
Machine Learning and Data Analytics (30 credits)
This module focuses on the interrelated subjects of machine learning, data mining, and data analytics. It covers the professional, ethical, social, and legal aspects of working with data and explores information and knowledge management, problems with data, data analytics tool selection approaches, principles of modeling and simulation, and operations research. Students will also study trends, tools, and current developments in machine learning, data mining, and data analytics.
Technology Management for Organisations (30 credits)
Students will learn to apply cybersecurity and data science principles, policies, and procedures to create resilient and robust organizational solutions for secure and valuable information. They will develop techniques and use tools to critically analyze the challenges and opportunities of using cybersecurity to mitigate and manage data risks and enable business continuity in case of data breaches. Additionally, they will develop a critical understanding of governance, standards, audit, assurance, and review to evaluate technology management challenges.
Assessment:
Assessment Methods:
- Written reports and research papers
- Practical assignments
- Masters project
Assessment Criteria:
- Understanding and application of relevant concepts
- Critical analysis and problem-solving
- Communication and presentation skills
- Meeting deadlines and project management
Teaching:
Teaching Methods:
- Lectures
- Group work
- Research projects
- Discussion groups
- Seminars
- Tutorials
- Practical laboratory sessions
Faculty:
The program is taught by an enthusiastic team of experienced researchers and industry practitioners with expertise in data science and related fields.
Careers:
Potential Career Paths:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine learning engineer
- Data architect
Career Opportunities:
Graduates of the program are highly sought after by businesses and industries across the UK and beyond, with opportunities available in government agencies, high technology companies, consulting firms, and market research firms.
Career Outcomes:
The strong industry links of the University of Sunderland and the program's focus on real-world application of knowledge and skills prepare graduates for successful careers in the field of data science.
Other:
Placements:
The MSc in Applied Data Science offers the opportunity for students to undertake a professional practice placement related to data science, further developing their skills and experience by applying theoretical knowledge to practical situations.
Industry Focus:
The modules are created in collaboration with employers, ensuring the curriculum is relevant and in line with industry requirements, providing graduates with the key skills and knowledge to make an immediate impact in their careers.
100% Coursework-Based:
There are no exams in this program, providing a different assessment method and potentially reducing exam-related anxiety for some students.
IT Facilities:
The University provides students with access to a variety of state-of-the-art IT facilities, including the David Goldman Technology Centre, which houses hundreds of computers with up-to-date software, Cisco networking equipment laboratories, high-performance computing platforms for complex computational tasks, and their own public mobile cellular network.
Learning Resources:
In addition to the outstanding IT facilities, students have access to extensive learning resources, including the libraries and online databases with a vast collection of journals, articles, and research publications relevant to data science and related fields.
Open Days and Events:
Students are encouraged to attend Open Days and events organized by the University to experience the campus, learn more about the program, and interact with faculty and current students.
Tuition Fees and Payment Information:
- UK/Europe: £9,250
- International: £17,400
University of Sunderland
Overview:
The University of Sunderland is a public university located in Sunderland, England. It offers a diverse range of undergraduate and postgraduate programs across various disciplines. The university has a strong focus on providing a supportive and inclusive learning environment for its students.
Services Offered:
The University of Sunderland provides a comprehensive range of services to its students, including:
Academic Support:
Access to libraries, learning resources, and academic advisors.Student Support:
Counseling, mental health services, and disability support.Accommodation:
On-campus and off-campus housing options.Career Services:
Career guidance, job search assistance, and internship opportunities.Student Life:
A vibrant student union, clubs, societies, and social events.Student Life and Campus Experience:
The university boasts a diverse and inclusive campus community where students can connect with people from different backgrounds and cultures. Students can participate in extracurricular activities, engage in personal and professional development opportunities, and enjoy a vibrant social scene.
Key Reasons to Study There:
Top-Quality Facilities:
The university has modern facilities, including a state-of-the-art library, sports facilities, and dedicated learning spaces.Inclusive Culture:
The university fosters a welcoming and inclusive environment for all students.Vibrant City:
Sunderland is a dynamic city with a rich history and a low cost of living.Strong Industry Links:
The university has strong connections with local businesses and industries, providing students with valuable career opportunities.Academic Programs:
The University of Sunderland offers a wide range of academic programs, including:
Arts and Design:
Fashion, Photography, Fine Art, and Graphic Design.Sciences:
Pharmacy, Nursing, Medicine, and Biology.Business and Law:
Business Management, Finance, Law, and Tourism.Computing and Engineering:
Computer Science, Software Engineering, and Electrical Engineering.Education and Social Sciences:
Education, Psychology, and Social Work.Other:
The university has campuses in Sunderland, London, and Hong Kong, offering students a global learning experience. It is also recognized for its commitment to sustainability and equality, diversity, and inclusion.
Entry Requirements:
Qualifications:
- EU Home Students:
- Minimum grade: 2:2 (hons) or equivalent in a computing or related non-computing discipline (mathematics, statistics, engineering)
- OR
- Minimum grade: 2:1 (hons) or equivalent in relevant non-computing or related degree (degree which has numeracy included and/or application of big data as a significant theme)
- International Students Outside the EU:
- Same requirements as EU home students
- Additionally:
- If your qualification is not listed, please contact the Student Administration team at studentadmin@sunderland.ac.uk for further advice.
Alternative Entry Requirements:
- Five years relevant business or industry experience will also be considered.
English Language Requirements:
- For applicants whose first language is not English:
- IELTS: 6.5 overall, with no less than 6.0 in each component
- OR
- A recognised equivalent qualification
Additional Notes:
- European Union (EU), EEA (European Economic Area), and Swiss nationals who do not qualify for the EU Settlement Scheme are classed as international. However, for 24/25 admission, you will receive a European student fee scholarship and will pay the home tuition fee rate for the duration of your studies.
Language Proficiency Requirements:
- As English is the medium of instruction at the University of Sunderland, a strong command of the language is essential.
- While the specific score requirements may vary depending on the program, generally, an IELTS score of 6.5 overall, with no less than 6.0 in each component, is considered a good indication of sufficient English language proficiency.
- Some alternative English language tests may be accepted as well, such as the TOEFL or Pearson Test of English.
- It's important to note that meeting the minimum language proficiency requirements does not guarantee automatic admission to the program. Other academic and non-academic factors are also considered during the admissions process.
Summary:
The program welcomes applications from students with diverse academic backgrounds, including those with computing, STEM experience, or prior experience working with data (e.g., statistics). Applicants with a solid academic foundation in their chosen field and the necessary English language proficiency are encouraged to apply.
