Advanced Computer Science with Data Science (January) University of Strathclyde

Overview

The MSc in Advanced Computer Science with Data Science (January) at the University of Strathclyde prepares students for a dynamic career in the ever-evolving field of data science. With a growing demand for data professionals across various sectors, this programme offers a comprehensive curriculum designed to equip graduates with both theoretical knowledge and practical skills. Students will delve into the challenges posed by the data revolution, focusing on the modelling, storage, and access of data. The course is structured to provide a robust understanding of classical statistical techniques and their application in contemporary data analysis.

The University of Strathclyde is renowned for its commitment to employability and industry engagement. The programme is strategically designed to meet the needs of employers, ensuring that graduates possess the technical, analytical, and communication skills essential for success. The university's strong partnerships with leading companies facilitate valuable networking opportunities, allowing students to connect with potential employers such as JP Morgan and Adimo. Additionally, the university boasts state-of-the-art facilities and a vibrant campus located in the heart of Glasgow, providing an enriching environment for learning.

The tuition fees for the MSc in Advanced Computer Science with Data Science (January) are as follows:

• International Students: £30,250 per year
• Domestic Students: £11,900 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum comprises both compulsory and elective modules, enabling students to tailor their learning experience. Key modules include:

• Research Methods (10 credits)
• Distributed Information Systems (20 credits)
• Machine Learning for Data Analytics (20 credits)
• Legal, Ethical and Professional Issues for the Information Society (10 credits)
• Deep Learning Theory & Practices (20 credits)

Elective options allow students to explore specialised topics, such as:

• Mobile Software & Applications (20 credits)
• Evolutionary Computing for Finance (20 credits)
• Business Analysis (10 credits)
• Big Data Technologies (20 credits)

Throughout the programme, students will engage in hands-on projects, applying their knowledge in real-world scenarios. The research project component, which occurs during the summer semester, allows students to work closely with an academic supervisor, ensuring a supportive learning experience.

Graduates of this programme can expect to find opportunities in various industries, including finance, healthcare, pharmaceuticals, and public services. The skill set acquired through this course prepares students for roles such as data scientist, data analyst, and software engineer. Starting salaries for data scientists typically range from £25,000 to £30,000, with potential earnings increasing significantly with experience. Moreover, the university's strong connections with industry leaders enhance graduates' employability, providing a pathway to successful careers in the data-driven economy.