MRes Leadership and Strategy
The University of Greater Manchester offers a wide array of undergraduate and postgradu...
BSc (Hons) Computing (Data Analyst)
Bolton
INTAKE: September
Program Overview
This degree focuses on equipping students with practical skills in data collection, processing, visualization, and interpretation, alongside a strong foundation in computing. Students learn to use programming languages such as Python and R, database management systems, and machine learning algorithms. The program emphasizes the development of analytical thinking and technical proficiency, enabling students to work effectively with large data sets and contribute to data-driven strategies in various sectors.
Curriculum: The curriculum begins with core computing subjects such as programming, databases, and software engineering, then progresses to specialized modules in statistics, data mining, data visualization, machine learning, and big data technologies. Students engage in hands-on projects using real datasets and industry-standard tools, gaining experience in both theoretical and practical aspects of data analysis. The final year includes a major project or dissertation, where students apply their knowledge to solve a significant data challenge or conduct research.
Research Focus: The University of Greater Manchester is active in research related to data science, artificial intelligence, and analytics, with faculty contributing to innovative developments in predictive modeling, natural language processing, and data ethics. This research environment enriches teaching, ensuring students engage with the latest methodologies and technologies. Students are encouraged to participate in research projects, fostering critical thinking and innovation in the field of data analysis.
Industry Engagement: Strong connections with industry partners provide students with valuable opportunities for internships, placements, and collaborative projects. Guest lectures and workshops led by data professionals expose students to real-world applications and emerging trends. The program is regularly updated based on employer feedback to ensure graduates meet current market demands and are ready to contribute from day one.
Global Perspective: Given the global nature of data and its impact across borders, the program incorporates international case studies and data governance standards, including GDPR compliance. The diverse student community and options for international exchange programs further enhance global awareness, preparing graduates to work in multinational organizations and adapt to varied cultural and regulatory environments.
Location
Bolton
Score
IELTS 6
Tuition Fee
£ 15950
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 80.
- PTE Academic: A minimum overall score of 59.
- Some programs may have specific subject prerequisites or additional requirements.
The University of Greater Manchester offers a variety of scholarships to support international students in financing their education. These scholarships are designed to reward academic excellence and assist students in pursuing their studies in the UK.
Global Futures Scholarships: The university provides the Global Futures Scholarships, which offer financial support to international students. These scholarships are available to both undergraduate and master's students holding an offer for full-time study on campus in Manchester.
Graduates of the BSc (Hons) Computing (Data Analyst) program at the University of Greater Manchester acquire strong analytical and technical skills that prepare them for a wide range of data-focused roles across various industries. Their ability to interpret complex data and support strategic decision-making makes them valuable assets in today’s data-driven business environment.
Data Analyst: Collecting, processing, and analyzing data to generate actionable insights that guide business strategies and operational improvements.
Business Intelligence Analyst: Designing and implementing BI solutions to help organizations understand market trends, customer behavior, and performance metrics.
Data Scientist: Applying advanced statistical techniques and machine learning models to extract meaningful patterns and predict future outcomes.
Data Engineer: Building and maintaining scalable data pipelines and infrastructure to ensure efficient data flow and accessibility.
Quantitative Analyst: Using mathematical and statistical methods to analyze financial data and assist in investment decision-making.
Operations Analyst: Evaluating organizational processes and performance data to optimize efficiency and resource allocation.
Marketing Analyst: Analyzing customer data and market trends to design targeted marketing campaigns and improve customer engagement.
Risk Analyst: Assessing data to identify potential risks and develop strategies to mitigate financial, operational, or cybersecurity threats.
Database Administrator: Managing and securing large databases to ensure data integrity and availability for analytical purposes.
Machine Learning Engineer: Developing algorithms and systems that enable computers to learn from data and automate decision-making processes.
