MSc Accounting
The MSc Accounting at the University of Manchester, United Kingdom, is a specialized po...
MSc Data Science (Computer Science Data Informatics)
Manchester, England
INTAKE: Jan & Sept
Program Overview
The MSc Data Science (Computer Science Data Informatics) program at the University of Manchester is designed for students looking to build a deep understanding of data science with a focus on computer science and informatics. The program combines advanced computational methods with data analysis techniques, allowing students to develop skills in handling large datasets, performing statistical analysis, and creating predictive models. This course is ideal for individuals interested in pursuing careers in data science, machine learning, artificial intelligence, or data engineering within industries such as technology, healthcare, finance, and government. Students are trained in both the theoretical aspects of data science and the practical tools required to solve real-world problems.
Curriculum: The curriculum of the MSc Data Science (Computer Science Data Informatics) program covers a wide array of topics that provide students with both practical and theoretical expertise. Key modules include Advanced Data Analytics, Data Mining and Machine Learning, Big Data Technologies, and Data Engineering. These courses enable students to master the full data science pipeline, from data preprocessing to advanced algorithm design and deployment. Additionally, students will study Database Management, Cloud Computing for Data Science, and Statistical Modelling and Analysis, with a strong emphasis on using modern tools and platforms such as Python, R, and Hadoop. Elective modules give students the flexibility to focus on areas such as Artificial Intelligence, Computer Vision, and Natural Language Processing. A capstone project or dissertation allows students to apply their knowledge and research methods to a complex data science problem.
Research Focus: The research focus of the MSc Data Science (Computer Science Data Informatics) program at the University of Manchester is centered on advancing the field of data science through computational techniques and informatics. The program encourages students to engage with cutting-edge research in areas like machine learning, data mining, and data engineering. Students will be encouraged to explore advanced topics such as deep learning, the development of new algorithms, and the integration of large-scale datasets for analytics. The research also includes the application of data science to fields such as healthcare, smart cities, and cybersecurity. This research-driven approach prepares students for high-level roles in both academia and industry, where they can contribute to solving complex problems using data science techniques.
Industry Engagement: The University of Manchester fosters strong connections with industry leaders, ensuring that MSc Data Science (Computer Science Data Informatics) students gain valuable insights and hands-on experience. The program features guest lectures, workshops, and collaborative projects with companies in the data science, technology, and business sectors. Students have opportunities to work on real-world data science challenges through industry partnerships, allowing them to build a professional network while applying theoretical knowledge to practical situations. Additionally, the university offers career support services, including internships, career fairs, and connections with top employers in the tech and data science fields. These industry engagements enhance the employability of graduates and provide a deeper understanding of how data science is applied in various industries.
Global Perspective: The MSc Data Science (Computer Science Data Informatics) program at the University of Manchester is designed to give students a global perspective on the application of data science. The program attracts students from around the world, providing a diverse learning environment where students can share experiences and collaborate on global data challenges. Additionally, the curriculum is designed to reflect international best practices in data science and informatics. Students are encouraged to consider global issues such as data privacy, cross-border data regulations, and the ethical implications of using large-scale data. The university’s international partnerships with research institutions and companies further enrich the global perspective of the program, offering students exposure to diverse data science practices and trends from different regions.
Location
Manchester, England
Score
IELTS 7
Tuition Fee
£ 33500
Postgraduate Entry Requirements
Application fee: £60
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 7.0 with no individual component below 6.5.
- TOEFL: A minimum overall score of 100.
- PTE Academic: A minimum overall score of 76.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
The University of Manchester offers a range of scholarships to support international students in funding their education and making their academic journey more accessible. These scholarships are designed to reward academic excellence, support students from diverse backgrounds, and help ease the financial challenges of studying abroad.
Global Futures Scholarship: The Global Futures Scholarship is a prestigious award for international students who demonstrate academic excellence and potential. This scholarship offers a £5,000 contribution towards tuition fees, providing financial assistance for undergraduate and postgraduate students. This scholarship is open to students from specific countries and disciplines, so it is essential to check eligibility criteria and deadlines.
Manchester Master’s Bursary: The Manchester Master’s Bursary is a financial aid program aimed at helping postgraduate students who come from lower-income backgrounds. This bursary offers support for UK, EU, and international students who wish to pursue a master’s degree at the university. The bursary can cover a significant portion of tuition fees and is awarded based on financial need.
Subject-Specific Scholarships: Many departments at the University of Manchester offer subject-specific scholarships for students enrolling in their programs. For example, students applying for programs in engineering, business, life sciences, and the arts may be eligible for additional funding based on academic performance and their future potential. These scholarships are often offered to high-achieving students who demonstrate exceptional skills and dedication to their field of study.
Chevening Scholarships: The Chevening Scholarship is a fully-funded award provided by the UK government, open to outstanding international students from over 160 countries. The scholarship covers tuition fees, living costs, travel expenses, and other related costs. The University of Manchester is a proud participant in this global program and welcomes applications from students wishing to pursue a master's degree in a variety of disciplines.
Commonwealth Scholarships: The Commonwealth Scholarship Commission offers fully funded scholarships for international students from Commonwealth countries. These scholarships support students pursuing postgraduate studies in fields such as engineering, health sciences, and education. They cover the full cost of tuition fees, travel, and living expenses during the duration of the program.
Regional Scholarships: The university also offers regional scholarships for students from specific countries or regions, including Asia, Africa, Europe, and the Americas. These scholarships are designed to make studying at the University of Manchester more accessible to students from these regions and offer both partial and full financial support depending on the scholarship type.
Graduates of the MSc Data Science (Computer Science Data Informatics) program at the University of Manchester are highly sought after by employers across a range of sectors due to their expertise in both data science techniques and computer science applications. The combination of analytical skills, programming knowledge, and data engineering prepares graduates for a variety of rewarding career paths in the fast-growing field of data science.
Data Scientist: Graduates can take on roles as data scientists, utilizing machine learning, statistical analysis, and big data technologies to derive actionable insights from complex datasets. Data scientists are in demand across industries like technology, healthcare, finance, and retail.
Data Engineer: With expertise in building and optimizing data systems, graduates can work as data engineers, focusing on the design, construction, and management of data architectures that enable businesses to manage and process large amounts of data effectively.
Machine Learning Engineer: With a strong foundation in machine learning algorithms and data science, graduates can pursue roles as machine learning engineers, where they will design and implement algorithms to automate decision-making processes and improve predictive models.
Big Data Analyst: Graduates can specialize in handling large, complex datasets as big data analysts. These professionals use advanced data processing techniques to analyze and interpret data from multiple sources to help organizations make informed decisions.
Business Intelligence Analyst: By leveraging data analysis and visualization skills, graduates can work as business intelligence analysts, helping companies make strategic decisions based on insights derived from data trends, business metrics, and performance analysis.
AI Researcher: With their deep understanding of computer science and data informatics, graduates can pursue careers in artificial intelligence research, where they will work on the development of cutting-edge AI applications, including natural language processing, computer vision, and robotics.
Data Consultant: Graduates can work as consultants, advising organizations on how to implement data-driven strategies, optimize data systems, and improve their overall data management and analytical capabilities.
Software Developer (Data Focused): Graduates can apply their knowledge of software development in a data-driven context, building software tools and applications that focus on data analysis, machine learning, and data processing.
