MSc Data Science

Bay Campus

 

INTAKE: September

Program Overview

The MSc Data Science program at Swansea University offers a comprehensive curriculum that combines theoretical foundations, practical skills, and real-world applications of data science. 

  1. Data Science Fundamentals: The program provides a solid foundation in data science principles, including statistical analysis, machine learning, data visualization, and data mining. Students gain a deep understanding of the core concepts and techniques used in data science.

  2. Programming and Data Manipulation: Students learn programming languages such as Python and R, along with tools and libraries commonly used in data science, such as Pandas, NumPy, and TensorFlow. They acquire skills in data manipulation, cleaning, and transformation to prepare data for analysis.

  3. Statistical Analysis and Machine Learning: The program covers advanced statistical analysis techniques, including regression, clustering, classification, and time series analysis. Students also delve into machine learning algorithms, exploring supervised and unsupervised learning methods, deep learning, and reinforcement learning.

  4. Big Data and Data Management: Students gain knowledge of handling large-scale data sets and working with distributed computing frameworks such as Hadoop and Spark. They learn about data storage, retrieval, and processing techniques to effectively handle big data challenges.

  5. Data Visualization and Communication: Students develop skills in visualizing and communicating data insights effectively. They learn to create meaningful visualizations, interactive dashboards, and data storytelling techniques to convey complex information to non-technical stakeholders.

  6. Ethical and Legal Considerations: The program explores ethical and legal aspects of data science, including privacy, data protection, and responsible data usage. Students learn to navigate the ethical challenges and develop a strong understanding of data governance and compliance.

  7. Applied Data Science Projects: Students work on real-world data science projects, either individually or in teams, applying their knowledge and skills to solve practical problems. These projects allow them to gain hands-on experience and showcase their abilities to potential employers.

Pollster Education

Location

Bay Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 20900

Postgraduate Entry Requirements:

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% 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.
    • PTE Academic: A minimum overall score of 56 with no individual score below 56.
  • 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.

Swansea University offers a variety of scholarships to support students in their academic journey. These scholarships aim to support students in pursuing their academic goals and experiencing the vibrant learning environment at Swansea University. 

  1. International Excellence Scholarships: Swansea University offers International Excellence Scholarships to outstanding international students who demonstrate exceptional academic achievement. These scholarships are available for both undergraduate and postgraduate programs. The value of the scholarship varies, but it can cover a significant portion of the tuition fees.
  2. Eira Francis Davies Scholarship: The Eira Francis Davies Scholarship is specifically designed for female students from developing countries who wish to pursue a full-time undergraduate or postgraduate course at Swansea University. This scholarship aims to support female students in their academic journey and empower them to make a positive impact in their home countries.
  3. Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to international students who have demonstrated academic excellence and leadership potential. These scholarships provide financial support towards tuition fees and are available for both undergraduate and postgraduate programs.
  4. Santander Scholarships: Swansea University has a partnership with Santander Bank to provide scholarships for international students. These scholarships are awarded based on academic merit and cover a portion of the tuition fees.
  5. Sports Scholarships: Swansea University recognizes the achievements of talented athletes and offers Sports Scholarships to support them in balancing their academic and sporting commitments. These scholarships provide financial assistance, as well as access to training facilities and additional support services.

Graduates of the MSc Data Science program have excellent career prospects in the rapidly growing field of data science and analytics.

  1. Data Scientist: Graduates can work as data scientists, analyzing and interpreting data to extract valuable insights for businesses and organizations. They build predictive models, develop algorithms, and apply statistical techniques to solve complex problems.

  2. Data Analyst: Graduates can work as data analysts, focusing on data interpretation, data visualization, and generating meaningful reports to support decision-making processes. They extract actionable insights from data to drive business strategies.

  3. Machine Learning Engineer: Graduates can work as machine learning engineers, developing and implementing machine learning algorithms and models. They design and optimize systems that use artificial intelligence to automate processes and make accurate predictions.

  4. Data Engineer: Graduates can work as data engineers, responsible for building and maintaining data infrastructure and pipelines. They design and develop databases, data warehouses, and data integration systems to ensure efficient data flow and storage.

  5. Business Intelligence Analyst: Graduates can work as business intelligence analysts, providing business intelligence solutions and dashboards. They translate complex data into actionable insights, supporting strategic decision-making and performance monitoring.

  6. Data Consultant: Graduates can work as data consultants, advising businesses on data strategy, data governance, and data-driven decision-making. They help organizations leverage data effectively and optimize their data management processes.

  7. Research Scientist: Graduates can pursue research positions in academia or research institutions, contributing to cutting-edge research in data science, machine learning, or artificial intelligence. They work on innovative projects and contribute to advancements in the field.

  8. Data-Driven Roles in Various Industries: Graduates can apply their data science skills in industries such as finance, healthcare, e-commerce, telecommunications, and government sectors. They can work as data analysts, data managers, or data strategists, leveraging data to drive business growth and innovation.


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