MBA Master of Business Administration
The MBA program at the University of Leeds is designed to develop well-rounded business...
MSc Advanced Computer Science (Data Analytics)
Leeds
INTAKE: September
Program Overview
The MSc Advanced Computer Science (Data Analytics) program at Leeds offers a balanced mix of theoretical knowledge and practical experience in data analytics. The program is designed for students with a background in computer science, mathematics, or a related field, and it aims to equip them with the skills needed to analyze, interpret, and visualize data effectively. Throughout the course, students engage with industry-relevant data analytics tools and techniques, learning how to apply these methods to solve real-world problems. The curriculum is designed to provide an in-depth understanding of data analysis, statistical modeling, and machine learning, culminating in a research-based project where students can work on an independent data-driven investigation. The program also prepares students for roles in big data analytics, business intelligence, data engineering, and more.
Curriculum: The MSc Advanced Computer Science (Data Analytics) curriculum at Leeds is designed to provide students with both the theoretical and practical knowledge required to excel in data analytics. Core modules typically include Machine Learning, Data Mining, Data Visualization, Statistical Analysis, Big Data Analytics, and Advanced Data Structures and Algorithms. These modules cover the essential aspects of data analytics, including data preprocessing, modeling, and interpretation. Additionally, students can choose from a range of elective modules that allow for further specialization in areas such as Natural Language Processing, Cloud Computing for Data Analytics, or Artificial Intelligence. A significant component of the program is the research project, where students apply their acquired knowledge to real-world data challenges, contributing to the growing body of knowledge in the field.
Research Focus: The research focus of the MSc Advanced Computer Science (Data Analytics) program at Leeds is centered around the practical application of data analytics techniques in solving real-world problems. Faculty members at Leeds are involved in cutting-edge research in areas like machine learning, data mining, predictive analytics, and statistical modeling. Students are encouraged to participate in research projects, working alongside academics and industry experts to develop new methodologies or improve existing data analytics techniques. The program's research opportunities allow students to explore the growing role of data analytics in fields such as healthcare, business, economics, and environmental science. This research-centric approach ensures that graduates are not only skilled in applying data analytics tools but are also equipped to drive innovation and contribute to the advancement of the field.
Industry Engagement: The MSc Advanced Computer Science (Data Analytics) program at Leeds has strong industry links, allowing students to gain practical experience and insights into the data analytics landscape. The program's connection to industry provides students with opportunities for internships, placements, and collaborative research projects with leading organizations in sectors such as finance, technology, and healthcare. Leeds’ well-established relationships with tech companies, startups, and multinational corporations give students access to real-world data, helping them apply theoretical knowledge to solve practical business challenges. In addition to hands-on experience, the program offers networking events, guest lectures from industry leaders, and career support, ensuring that students are well-prepared for the job market upon graduation.
Global Perspective: The MSc Advanced Computer Science (Data Analytics) program at the University of Leeds is designed with a global perspective, acknowledging the widespread importance of data analytics across industries worldwide. The program incorporates an international outlook by exploring how data analytics is used in different cultural, economic, and social contexts. Students gain a deeper understanding of global data challenges, such as data privacy, cross-border data flow, and the application of analytics in global industries. The collaborative and diverse environment at Leeds allows students to work with peers from around the world, gaining insights into how data analytics is applied in various regions and sectors. By the end of the program, graduates will be equipped with the skills needed to tackle data-related challenges in both local and international contexts.
Location
Leeds
Score
IELTS 6.5
Tuition Fee
£ 33750
Postgraduate Entry Requirements:
- Academic Qualifications: International students applying for postgraduate programs at the University of Leeds are generally required to have a minimum academic achievement of 55% or above in their previous studies. This requirement may vary depending on the course and country of origin.
- English Language Proficiency: Similar to undergraduate programs, international students applying for postgraduate programs must demonstrate their English language proficiency. The required English language test scores are as follows:
- IELTS: A minimum overall score of 6.5 with no individual component score below 6.0.
- TOEFL: A minimum overall score of 88, with no individual component score below 19.
- PTE: A minimum overall score of 64, depending on the course, with no individual component score below 60.
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.
The University of Leeds offers a range of scholarships and funding opportunities to support students in their academic pursuits. These scholarships are awarded based on various criteria such as academic excellence, financial need, and specific areas of study.
Dean's Business School Scholarship: This scholarship is specifically for undergraduate students applying to the Leeds University Business School. It offers a cash award of up to £2,000 per year of study, based on academic achievement and potential.
Leeds Masters Scholarships: These scholarships are available for UK/EU and international students pursuing a master's degree at the University of Leeds. The scholarships cover partial tuition fees and are awarded based on academic excellence.
Research Scholarships: The University of Leeds also offers research scholarships for students pursuing a Ph.D. or research-based master's program. These scholarships provide funding for tuition fees and living expenses.
Graduates of the MSc Advanced Computer Science (Data Analytics) program from the University of Leeds are well-prepared for diverse and impactful career paths in data analysis, machine learning, business intelligence, and more. The program equips graduates with advanced data analytics skills, opening doors to various opportunities.
Data Scientist: Graduates can work as data scientists, extracting insights from data and using advanced analytics techniques to inform decision-making.
Machine Learning Engineer: Opportunities await in machine learning, where graduates can develop algorithms and models that enable machines to learn and predict outcomes.
Business Intelligence Analyst: Graduates can become business intelligence analysts, providing insights to organizations for strategic planning and performance improvement.
Data Analyst: Graduates can work as data analysts, cleaning, transforming, and analyzing datasets to uncover meaningful patterns and trends.
Data Consultant: Graduates can become data consultants, advising businesses on data strategy, visualization, and implementation.
Research and Academia: The program provides a strong foundation for graduates interested in pursuing doctoral studies or academic careers in data analytics research.
