Ulster University - MSc Data Science with Applied Research

Ulster University

MSc Data Science with Applied Research

The MSc Data Science program aims to prepare students for a successful career in the rapidly developing field of data science, focusing on skills in data acquisition, information extraction, aggregation, representation, and data analysis using advanced machine learning techniques. These skills are in high demand in various industries such as IT, business, security, health, intelligent transport, energy, and creative. The program aims to address the challenges faced by companies by providing a solid foundation in data analytics and information processing, while also fostering a broad appreciation of other disciplines where data science can form synergistic relationships. The program includes an applied research project over two semesters, allowing students to independently plan and organize research in a selected application area.

Entry Requirements

(a) have gained

(i) a second class honours degree or better, in the subject areas of computing, engineering or related discipline, from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or

(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline

and

(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent).

In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.

The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.

Career Prospects

The MSc Data Science program at Ulster University aims to enhance work-related learning and employability by incorporating real industrial and commercial contexts into students' experiences. The program will use business and industry links to facilitate industrially relevant student projects, fostering valuable experiences and fostering collaborations with departments and companies. These projects can also tap into funding streams for industry-academic research and development. Data analysts are in high demand across various sectors, including finance, consulting, manufacturing, pharmaceuticals, government, and education. They can work in large companies like the 'big four' consultancies, consumer retail firms, small and medium-sized businesses like marketing agencies, and the public sector.

Course Details

This course covers data science, artificial intelligence, big data technologies, and statistical modeling and machine learning. It is continually updated to incorporate new teaching approaches and developments in research, industry, and professions. The first year focuses on Business Intelligence and Analytics, focusing on data analysis and presentation of results. The second year introduces data validation and visualization, focusing on high-quality data for big data analysis and value assurance. Students learn about data science foundations, programming with Python, and deep learning and natural language processing technologies. They explore various database and data storage paradigms, Hadoop and Spark workflows, functional programming concepts, and MapReduce. Statistical modeling and machine learning are covered in the second year, providing a systematic understanding of probability and statistics. Students will apply this knowledge in real-world contexts and complete an optional masters project in the final year.

Year One

Business Intelligence and Analytics
Data Validation and Visualisation
Data Science Foundations

Year Two

Deep Learning and Natural Language Processing
Big Data Technologies
Statistical Modelling and Machine Learning
Applied Research
Masters Project (Research)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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