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The MSc Data Science at Middlesex is a 1-year full-time (or 2-year part-time) programme suitable for students with backgrounds in computing, mathematics, or related quantitative fields. It combines machine learning, data visualisation, big data technologies, ethics, and a substantial project to prepare graduates for roles in industry or research.
Curriculum Structure:
Students study modules such as Machine Learning and AI for Data Science, Cloud and Big Data Technologies, Visual Data Analysis, AI-Enhanced Image Processing and Computer Vision, Applied Data Science: From Processing to NLP and LLMs, and Legal and Ethical Aspects of Data Science and AI. These provide grounding in algorithmic & statistical methods, managing and querying large datasets in cloud environments, image & vision techniques, handling natural language data, and understanding legal/ethical issues.
Focus areas
“Machine Learning; Cloud & Big Data Technologies; Visual Analytics; NLP & LLMs; Computer Vision; Ethics & Legal Aspects; Project Research”
Learning outcomes
“Ability to apply AI/ML techniques; manage and process large datasets in cloud environments; create visual analytics; understand & implement NLP/LLMs; address ethical/legal data issues; carry out independent data science project”
Professional alignment (accreditation):
The programme is built with employer feedback, offers optional placement, and includes learning of industry-relevant tools and platforms like Python, AWS, Hadoop, Spark.
Reputation (employability rankings):
Middlesex is ranked top-10 UK university for employability (UniCompare 2025); graduates secure roles in data science or further PhD study.
This programme is designed to bridge advanced theory with practical application, allowing you to develop specialist computing skills in modern, industry-focused laboratories. You will gain hands-on experience with professional software and development tools, working on projects that reflect current challenges in the computing industry. This practical approach is central to the curriculum and is delivered through:
Specialist Computing Laboratories: You will have access to the University's modern computing labs, including the Networking Lab for systems configuration and the Software Development Lab equipped with high-specification workstations for programming and project work.
Industry-Standard Software and Tools: The curriculum involves practical work with a range of programming languages and platforms, including Java, Python, and C#, alongside database management systems such as Oracle and development environments like Visual Studio.
Substantial Individual Project: A core component is a significant final project where you will apply your knowledge to a substantial computing problem, conducting research and developing a sophisticated software solution.
Practical, Project-Based Modules: Many modules include collaborative group work and practical assignments, simulating a professional environment where you design and implement computing systems to solve complex problems.
Graduates of the MSc Data Science at Middlesex University are equipped with advanced skills in machine learning, data analytics, visual analytics, and data governance, making them well-prepared for careers across various industries including finance, healthcare, technology, and public policy. Typical roles include Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and Data Analyst, reflecting the balance between theoretical knowledge and industrially relevant skills provided by the program.
Middlesex’s MDXworks careers service offers personalized employability coaching, industry networking events, and support to secure professional placements of up to three months, enhancing practical experience and job prospects.
Graduate employability outcomes are strong, with majority of graduates securing relevant roles within six months of course completion; salaries generally range from £27,000 to £45,000 depending on sector and experience.
The program integrates live projects and collaborations with industry, providing students access to current technologies including AWS, Apache Hadoop, and Apache Spark, supported by Middlesex’s extensive industry partnerships and research initiatives.
Accreditation and curriculum focus keep graduates competitive, emphasizing ethical, legal, and data governance frameworks alongside technical expertise, offering long-term career value in the evolving data science field.
Graduates develop strong competencies in statistical modeling, AI-enhanced computer vision, data visualization, and cloud-based big data processing, ensuring their ability to lead data-driven decision making in complex environments.
Further Academic Progression:
Upon graduation, students may pursue PhD research in Data Science, Machine Learning, or Artificial Intelligence at Middlesex University or other leading institutions. Additional options include interdisciplinary research, postdoctoral projects, and professional certifications to deepen expertise and enhance career advancement in the data science domain
A 2:2 honours degree or above in computer scienceIndia- A good first degree from a recognised university or equivalent with minimum 50% or above.USA- Completed a bachelors degree from an accredited university or college with a Grade Point Average of 3.0 or higher.ILETS- 6.5 (with 6.0 in each component)TOEFL- 79 (Reading min 18, Writing min 21, Listening min 17, Speaking min 20)Software ArchitectDevOps EngineerMachine Learning EngineerData ScientistResearch ScientistIT Consultant 
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Middlesex University London
