MSc Civil Engineering and Management
The MSc Civil Engineering and Management program at the University of Nottingham provid...
MSc Data Science
Jubilee Campus
INTAKE: September
Program Overview
The MSc Data Science program at the University of Nottingham offers a comprehensive, interdisciplinary approach to data science. Students gain expertise in key areas such as data analytics, machine learning, statistical modeling, and data visualization. The program emphasizes both the technical and computational aspects of data science, ensuring graduates are well-prepared to tackle complex problems in various industries. With access to state-of-the-art facilities and cutting-edge software, students engage in hands-on learning experiences that foster practical problem-solving skills. The program includes a final dissertation or project that enables students to apply their knowledge to real-world challenges, often in collaboration with industry partners.
Curriculum: The MSc Data Science program’s curriculum at the University of Nottingham is structured to provide a well-rounded understanding of the field. Core modules include Machine Learning, Data Mining, Big Data Technologies, Data Visualization, and Computational Statistics. Students are introduced to advanced data analysis techniques and software tools such as Python, R, Hadoop, and SQL. The curriculum also covers ethical issues in data science, such as privacy concerns, the responsible use of data, and algorithmic fairness. Through elective modules, students can choose to specialize in areas such as artificial intelligence, data engineering, and cloud computing, allowing them to tailor their learning to their career interests. The program is designed to be flexible, accommodating students from various academic backgrounds.
Research Focus: The University of Nottingham’s MSc Data Science program places a strong emphasis on research, helping students develop the skills to conduct meaningful investigations in the field. The university is renowned for its data science research, with a focus on areas such as big data analytics, machine learning algorithms, and predictive modeling. Students are encouraged to participate in ongoing research projects, which are often interdisciplinary, and to contribute to advancements in data science through their dissertation work. Research at the university is aimed at solving real-world problems across sectors like healthcare, finance, engineering, and smart cities, with a focus on using data to drive innovation and decision-making.
Industry Engagement: Industry engagement is a core element of the MSc Data Science program at the University of Nottingham. Students have access to a strong network of industry partners and are encouraged to apply their learning in real-world contexts through industry-led projects and work placements. The university has established collaborations with leading companies in sectors such as technology, finance, telecommunications, and public services, providing students with the opportunity to work on live data science projects that address current industry challenges. The university’s connections with companies such as Google, IBM, and Siemens ensure that students benefit from valuable industry insights and networking opportunities, increasing their employability upon graduation.
Global Perspective: The MSc Data Science program at the University of Nottingham adopts a global perspective, recognizing the international demand for data science professionals and the global nature of data-driven challenges. The university’s global research collaborations, along with its diverse student body, create an environment that fosters an understanding of how data science is applied across different regions and industries. Students are encouraged to think globally and consider how data science can be used to address global issues such as climate change, public health, and sustainable development. Additionally, the program offers opportunities for international exchange, allowing students to gain a broader perspective on data science applications and challenges worldwide.
Location
Jubilee Campus
Score
IELTS 6.5
Tuition Fee
£ 28600
Postgraduate Entry Requirements: For admission into postgraduate programs at the University of Nottingham, international students are generally required to meet the following criteria:
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Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 60% or above in their country's grading system. The specific entry requirements may vary depending on the chosen program of study. Some programs may have additional subject-specific requirements or prerequisite knowledge.
- 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 90, with at least 17 in Listening, 17 in Reading, 20 in Speaking, and 18 in Writing.
- PTE Academic: A minimum overall score of 72 with no individual score below 65.
- 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.
Scholarships for International Students at the University of Nottingham:
International Excellence Scholarship: The University of Nottingham offers the International Excellence Scholarship to high-achieving international students. This scholarship is merit-based and provides a tuition fee reduction of up to £4,000 for postgraduate students.
Developing Solutions Scholarships: The Developing Solutions Scholarships are targeted at students from developing countries. These scholarships cover full tuition fees and provide additional support for living expenses. The aim of these scholarships is to empower students from disadvantaged backgrounds and enable them to make a positive impact in their home countries.
Sports Scholarships: The university recognizes the importance of sports and offers Sports Scholarships to exceptional athletes. These scholarships provide financial support to talented sportsmen and sportswomen, helping them balance their sporting commitments with their academic studies.
Nottingham Global Scholarships: The Nottingham Global Scholarships are awarded to outstanding international students across various academic disciplines. These scholarships provide financial assistance in the form of a tuition fee reduction.
Research Scholarships: The University of Nottingham offers a range of scholarships specifically for international students pursuing research degrees (Ph.D. or MRes). These scholarships provide funding to cover tuition fees and living expenses, allowing students to focus on their research projects.
Country-Specific Scholarships: The university also offers scholarships specifically tailored to students from certain countries. These scholarships may be based on academic merit, leadership potential, or specific criteria defined by the sponsoring organizations or governments.
Alumni Scholarships: The University of Nottingham values its alumni and offers scholarships exclusively for students who have completed a previous degree at the university. These scholarships provide financial support for further studies at the university.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the MSc Data Science program from the University of Nottingham are well-prepared to pursue diverse and impactful career paths.
Data Scientist: Graduates can work as data scientists, analyzing and interpreting data to provide insights that drive business decisions.
Machine Learning Engineer: With expertise in machine learning, graduates can specialize in developing and implementing machine learning algorithms.
Data Analyst: Graduates can work as data analysts, collecting, cleaning, and analyzing data to identify trends and patterns.
Business Analyst: Equipped with analytical skills, graduates can work as business analysts, helping organizations make informed strategic decisions.
Data Engineer: Graduates can pursue roles as data engineers, responsible for designing, building, and maintaining data pipelines.
Researcher: Many graduates choose to pursue research roles, contributing to advancements in data science methodologies and techniques.
