BEng Hons Architectural Engineering
The BEng (Hons) Architectural Engineering program at Heriot Watt University offers stud...
Edinburgh
INTAKE: September
The MSc Data Science program at Heriot-Watt University is a comprehensive two-year program that prepares students to become skilled data scientists capable of extracting valuable insights from complex data sets.
Foundational Knowledge: The program starts with foundational courses that provide students with a solid understanding of data science principles, statistical analysis, programming languages, and database management.
Advanced Data Analytics: Students delve into advanced topics in data analytics, including machine learning, data mining, data visualization, and predictive modeling. They learn to extract actionable insights from large and diverse datasets using state-of-the-art techniques and tools.
Programming Skills: The program emphasizes programming skills and provides hands-on training in programming languages such as Python and R, which are widely used in the field of data science. Students gain proficiency in writing efficient code and developing algorithms for data analysis.
Applied Learning: The program focuses on practical application through real-world projects and case studies. Students work on industry-relevant projects, collaborating with organizations to solve data-related challenges and gain hands-on experience in applying data science techniques.
Specializations: Students have the opportunity to specialize in specific areas of data science based on their interests and career goals. Specialization options may include machine learning, natural language processing, big data analytics, or data visualization.
Research Component: The program incorporates a research component, allowing students to explore an area of interest in depth and contribute to the advancement of data science through a research project. This provides valuable experience in conducting independent research and developing innovative solutions to data-related problems.
Edinburgh
IELTS 6.5
£ 24496
Postgraduate Entry Requirements:
Students must provide:
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.
Postgraduate Scholarships:
It is important to note that the availability, eligibility criteria, and application deadlines for scholarships may vary each year.Heriot-Watt University offers a range of scholarships to support undergraduate and postgraduate students in their academic journeys. These scholarships recognize excellence, support diversity, and assist students with financial need. Prospective students are encouraged to explore the various scholarship opportunities offered by Heriot-Watt University and apply according to the specific eligibility criteria and application deadlines.
Graduates of the MSc Data Science program from Heriot-Watt University have excellent career prospects in various industries.
Data Scientist: Graduates can pursue careers as data scientists, analyzing complex data sets, building predictive models, and providing data-driven insights to drive business decision-making.
Machine Learning Engineer: Graduates can work as machine learning engineers, developing and implementing machine learning algorithms and models to solve business problems and optimize processes.
Data Analyst: Graduates can become data analysts, extracting and interpreting data to identify patterns, trends, and insights that can inform strategic decision-making.
Data Engineer: Graduates can specialize in data engineering, focusing on data collection, storage, and processing to ensure efficient and scalable data infrastructure.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, transforming data into meaningful visualizations and reports to support strategic planning and decision-making.
Data Consultant: Graduates can provide consulting services, helping organizations develop data-driven strategies, optimize processes, and leverage data for competitive advantage.