MBA Master of Business Administration
The MBA program at Durham University is a full-time, intensive course aimed at developi...
MSc Master of Data Science
Durham-England
INTAKE: September
Program Overview
Durham University, located in the United Kingdom, offers a globally recognized academic environment with its MSc Master of Data Science program. This program is designed for individuals seeking to enhance their expertise in data science and analytics. It provides students with a strong foundation in both the theoretical and practical aspects of data science, empowering them to use advanced data techniques to solve complex problems. With a focus on data processing, machine learning, and statistical analysis, the program prepares students for impactful roles in various sectors, including finance, healthcare, technology, and more.
Curriculum: The MSc Master of Data Science program at Durham University is structured to offer a blend of essential data science knowledge and advanced technical skills. Core modules include subjects such as Data Programming, Machine Learning, Statistical Modelling, and Big Data Analytics. Students will also engage with modules covering data visualization, optimization techniques, and data mining, giving them a comprehensive understanding of how to process and analyze large datasets. The curriculum is designed to be flexible, with opportunities for students to explore specialized areas within data science based on their individual career goals. Additionally, students can work on a dissertation or project, allowing them to apply their skills to real-world data science challenges.
Research Focus: Durham University’s research in data science is internationally acclaimed. The university is involved in cutting-edge research in areas like artificial intelligence (AI), machine learning, data mining, and computational statistics. Faculty members are actively engaged in both theoretical and applied research, collaborating with industry leaders to push the boundaries of data science. The university encourages students to take part in ongoing research projects, providing them with valuable exposure to the latest trends and methodologies in data science. This research-driven environment ensures that students gain access to the most up-to-date knowledge and tools to support their studies and future careers.
Industry Engagement: Durham University has strong links with industry, ensuring that students of the MSc Master of Data Science program gain hands-on experience and real-world insights. Through partnerships with major organizations and data-driven businesses, students have opportunities to participate in internships, work placements, and consultancy projects. The program’s industry engagement also includes guest lectures, networking events, and career development workshops. This engagement helps students to develop practical skills and establish valuable industry connections, enhancing their career prospects upon graduation.
Global Perspective: The MSc Master of Data Science program at Durham University adopts a global perspective, recognizing the widespread use and importance of data science across the world. Students come from diverse international backgrounds, fostering a rich learning environment that promotes global collaboration and cultural exchange. Moreover, Durham University offers opportunities for students to participate in international research collaborations and exchange programs, further broadening their global perspective. This international outlook ensures that graduates are equipped to work in multinational organizations and navigate the challenges of the global data science landscape.
Location
Durham-England
Score
IELTS: 6.5
Tuition Fee
£ 29500
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% to 70% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 92, with at least 23 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 62 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Durham University offers a range of scholarships and bursaries to both domestic and international students.
Durham University Scholarships and Bursaries: These are awarded to both undergraduate and postgraduate students based on academic excellence, financial need, or specific criteria such as subject area or country of origin.
Durham International Scholarships: These are awarded to exceptional international students who are pursuing undergraduate or postgraduate studies at the university. The scholarship covers a portion of tuition fees and is renewable for the duration of the course.
Government Scholarships: Durham University participates in a number of government scholarship programs, including the Chevening Scholarship and the Commonwealth Scholarship.
College-Specific Scholarships: Some colleges at Durham University offer scholarships and bursaries to their students, such as the Van Mildert College Music Scholarship and the St. Mary's College Travel Grant.
Departmental Scholarships: Some academic departments at Durham University offer scholarships specifically for international students. These scholarships may be discipline-specific or focused on supporting students from specific regions or countries.
Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious scholarships awarded to exceptional international students across all academic disciplines. These scholarships cover the full tuition fees and provide a generous living allowance for the duration of the program. The selection process is highly competitive and based on academic merit and leadership potential.
The MSc in Data Science at Durham University is designed to provide students with the knowledge and skills needed to succeed in the fast-growing field of data science. Graduates of this program are equipped to work in a variety of industries, including finance, healthcare, marketing, and technology.
Data Analyst: Data analysts use statistical techniques to analyze and interpret complex data sets. They work in a variety of industries, including finance, healthcare, and marketing.
Data Scientist: Data scientists use their skills in statistics, machine learning, and programming to develop predictive models and gain insights from data. They work in industries such as technology, finance, and healthcare.
Business Intelligence Analyst: Business intelligence analysts help companies make data-driven decisions by collecting and analyzing data to identify trends and opportunities. They work in industries such as finance, healthcare, and marketing.
Data Engineer: Data engineers design and maintain the infrastructure needed to support data analysis and data science projects. They work in industries such as technology and finance.
Machine Learning Engineer: Machine learning engineers design and implement algorithms and models that enable machines to learn and make predictions. They work in industries such as technology and healthcare.
Big Data Analyst: Big data analysts work with large and complex data sets to identify patterns and trends. They work in industries such as finance, healthcare, and marketing.
Data Architect: Data architects design and implement the systems and structures that enable organizations to store, manage, and access large amounts of data. They work in industries such as technology and finance.
