MRes Leadership and Strategy
The University of Greater Manchester offers a wide array of undergraduate and postgradu...
MSc Data Analytics and Technologies
Bolton
INTAKE: September
Program Overview
The MSc Data Analytics and Technologies program at the University of Greater Manchester provides a rigorous and in-depth exploration of the core concepts, techniques, and technologies underpinning data analytics. It aims to develop graduates who can effectively collect, process, analyze, interpret, and visualize large and complex datasets to support informed decision-making. The program typically covers a range of topics, including statistical inference, data mining, machine learning algorithms, big data technologies (e.g., Hadoop, Spark), database management, data visualization techniques, and programming languages commonly used in data science (e.g., Python, R). The curriculum often incorporates a blend of theoretical lectures, practical lab sessions, case studies, and group projects to facilitate a comprehensive and applied understanding of the subject matter.
Curriculum: The curriculum of the MSc Data Analytics and Technologies program is carefully structured to provide a strong theoretical foundation in data analytics alongside the development of practical, hands-on skills. Core modules generally cover areas such as statistical methods for data analysis, data mining and knowledge discovery, machine learning principles and algorithms, big data processing and analysis, data visualization and communication, and database systems and data warehousing. Students will learn about various data analytics tools, platforms, and programming languages. The program may also offer elective modules allowing for specialization in areas like business analytics, healthcare analytics, or social media analytics. A significant component is often an individual research project or dissertation, enabling students to delve into a specific area of data analytics, conduct independent research, and develop their analytical and problem-solving abilities.
Research Focus: The MSc Data Analytics and Technologies program is delivered by faculty actively engaged in research within the broad field of data science and analytics, including specific areas like machine learning, big data, and data visualization. This ensures that the curriculum is informed by the latest research findings and emerging trends in the data analytics landscape. The program emphasizes the importance of research in advancing the field and encourages students to engage with research methodologies and contribute to the knowledge base through their projects and dissertations. Research areas within the program may include the development of novel machine learning algorithms, the application of big data techniques to specific domains, the creation of innovative data visualization methods, and the ethical implications of data analytics.
Industry Engagement: Recognizing the strong industry demand for data analytics professionals, the University of Greater Manchester often incorporates strong links with industry into its MSc program. This may include guest lectures from data scientists and analysts working in various sectors, workshops using industry-standard tools and platforms, opportunities for industry-based projects or internships, and career development sessions focused on the data analytics job market. The program aims to equip graduates with the practical skills and industry insights that are highly valued by employers in the data science and analytics sector.
Global Perspective: Data analytics is a global phenomenon, with organizations worldwide leveraging data to gain insights and drive decision-making. The MSc Data Analytics and Technologies program at the University of Greater Manchester often incorporates a global perspective by examining data analytics applications across different industries and countries, discussing the challenges and opportunities of working with global datasets, and addressing issues related to data privacy and regulations in an international context. The curriculum may include case studies of global companies leveraging data analytics and the impact of data-driven insights on the global economy. The diverse student body, including international students, also contributes to a broader understanding of global perspectives within the field of data analytics.
Location
Bolton
Score
IELTS 6.5
Tuition Fee
£ 15950
Postgraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 79.
- PTE Academic: A minimum overall score of 59.
- Some postgraduate 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.
Equity and Merit Scholarships: The university offers Equity and Merit Scholarships to academically excellent international students. These scholarships are available to postgraduate taught students commencing their studies. The scholarships aim to support students who demonstrate strong academic performance and their chosen field of study.
Engineering the Future Scholarships: The School of Engineering at the University of Greater Manchester provides scholarship awards to academically excellent international students commencing their postgraduate taught studies. These scholarships aim to support students pursuing careers in engineering and related fields.
Graduates from the MSc Data Analytics and Technologies program at the University of Greater Manchester possess highly sought-after skills in a rapidly expanding field. Their ability to analyze complex datasets and extract meaningful insights opens doors to a wide range of exciting and well-compensated career paths across various industries.
Data Scientist: Graduates can work on complex data problems, developing and implementing machine learning models, statistical analyses, and predictive algorithms to drive data-informed decision-making in organizations.
Data Analyst: Utilizing their analytical and visualization skills, graduates can interpret large datasets, identify trends, and create reports and dashboards to communicate key findings to stakeholders and support business intelligence.
Big Data Engineer: Graduates can design, build, and maintain the infrastructure and systems needed to process and store massive datasets using technologies like Hadoop, Spark, and NoSQL databases.
Machine Learning Engineer: Focusing on the development and deployment of machine learning models, graduates can work on applications such as natural language processing, computer vision, and recommendation systems.
Business Intelligence Analyst: Graduates can leverage data to understand business performance, identify areas for improvement, and develop strategies to enhance efficiency and profitability.
Data Visualization Specialist: With expertise in creating compelling and informative visual representations of data, graduates can help organizations communicate complex information effectively.
Database Administrator: Graduates can manage and maintain database systems, ensuring data integrity, security, and efficient access for analytical purposes.
Data Engineer: Focusing on the pipeline of data, graduates can design, build, and optimize data extraction, transformation, and loading (ETL) processes.
Quantitative Analyst (Quant): In the financial sector, graduates with strong mathematical and statistical skills can develop and implement quantitative models for trading, risk management, and investment strategies.
Data Consultant: Graduates can work with consulting firms, providing expertise to organizations on their data analytics strategies, infrastructure, and the implementation of data-driven solutions.
