MSc Information Security Management
MSc Information Security Management at Middlesex University, UK is a comprehensive prog...
BSc Honours Mathematics and Data Science
London
INTAKE: September
Program Overview
Middlesex University, located in London, UK, offers a BSc Honours Mathematics and Data Science program designed to equip students with the mathematical and analytical skills necessary for careers in data science, analytics, and related fields. This interdisciplinary program combines theoretical mathematics with practical data analysis techniques, preparing students for the challenges of working with large datasets and extracting valuable insights.
Curriculum: The curriculum of the BSc Honours Mathematics and Data Science program at Middlesex University covers a wide range of topics essential for data science and analytics. Courses include mathematical analysis, linear algebra, probability and statistics, programming languages (such as Python or R), machine learning, data visualization, and database management. Students engage in hands-on projects, case studies, and real-world applications to develop proficiency in mathematical modeling, statistical analysis, and data manipulation techniques.
Research Focus: Middlesex University emphasizes research excellence in mathematics, statistics, and data science, with faculty members actively engaged in research projects exploring various aspects of data analysis, machine learning algorithms, and mathematical modeling. Research initiatives may focus on topics such as predictive analytics, data mining, optimization techniques, and big data analytics. Students in the BSc Honours Mathematics and Data Science program may have opportunities to participate in research projects, collaborate with faculty members, and contribute to cutting-edge developments in the field.
Industry Engagement: The university maintains strong connections with industry partners in the data science and analytics sector, ensuring that the BSc Honours Mathematics and Data Science program remains closely aligned with industry needs and standards. Students benefit from guest lectures, industry workshops, and collaborative projects with leading companies, where they can apply their skills to real-world problems and gain valuable industry experience. Additionally, the program may offer internship opportunities, industry placements, or partnerships with organizations seeking data science expertise, providing students with pathways to enter the workforce.
Global Perspective: Middlesex University embraces a global perspective in its approach to mathematics and data science, recognizing the universal applicability of mathematical principles and data analysis techniques across different industries and regions. The BSc Honours Mathematics and Data Science program incorporates discussions on global data trends, cross-cultural perspectives on data ethics and privacy, and case studies from diverse industries and geographic locations. Students may have opportunities to engage with international datasets, collaborate with peers from around the world, or participate in study abroad programs to gain insights into data science practices in different cultural and economic contexts.
Location
London
Score
IELTS 6
Tuition Fee
£ 16600
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 55% 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 72, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 17 in Writing.
- PTE Academic: A minimum overall score of 59 with no individual score below 59.
- Some programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Middlesex University offers a range of scholarships and financial support options to help students pursue their academic goals.
Vice Chancellor's Excellence Scholarship: The Vice Chancellor's Excellence Scholarship is a prestigious scholarship awarded to high-achieving students who demonstrate outstanding academic excellence. It provides a partial fee waiver for undergraduate and postgraduate programs at Middlesex University.
Regional and Country-specific Scholarships: Middlesex University offers scholarships specifically designed for students from certain regions or countries. These scholarships aim to promote diversity and support international students.
Merit Scholarships: Merit scholarships are awarded to students who have achieved exceptional academic performance. These scholarships are available for both undergraduate and postgraduate programs and provide financial assistance in the form of tuition fee reductions.
External Scholarships and Funding: Middlesex University provides information and guidance on external scholarships and funding opportunities. These scholarships are offered by various organizations, foundations, and governments to support students' educational journeys. The university assists students in identifying and applying for external scholarships relevant to their program of study.
Graduates of the BSc Honours Mathematics and Data Science program at Middlesex University are well-equipped to pursue diverse and rewarding career paths in the rapidly growing fields of mathematics, statistics, and data science.
Data Scientist: Graduates can work as data scientists, analyzing large datasets to extract meaningful insights, patterns, and trends. They use statistical techniques, machine learning algorithms, and programming skills to solve complex problems and provide data-driven solutions to businesses and organizations across various industries.
Data Analyst: Graduates may pursue careers as data analysts, responsible for collecting, cleaning, and analyzing data to inform decision-making processes. They create visualizations, dashboards, and reports to communicate findings and help stakeholders understand trends and opportunities within the data.
Machine Learning Engineer: Graduates with a focus on machine learning can work as machine learning engineers, developing and implementing algorithms to train predictive models and automate decision-making processes. They work with large datasets, develop algorithms, and deploy machine learning solutions to solve real-world problems.
Statistical Analyst: Graduates can work as statistical analysts, specializing in statistical modeling, hypothesis testing, and experimental design. They analyze data to identify patterns, correlations, and relationships, and provide statistical insights to support research projects, business strategies, and policy decisions.
Quantitative Analyst (Quant): Graduates with strong mathematical skills can pursue careers as quantitative analysts, working in finance, risk management, or investment banking. They use mathematical models and statistical techniques to analyze financial markets, evaluate investment strategies, and manage financial risks.
Business Intelligence (BI) Analyst: Graduates may work as business intelligence analysts, helping businesses leverage data to make informed decisions and improve operational efficiency. They design and develop BI solutions, conduct data mining and forecasting, and provide insights to support strategic planning and performance optimization.
Database Administrator: Graduates with expertise in database management can work as database administrators, responsible for designing, implementing, and maintaining databases to ensure data integrity, security, and accessibility. They optimize database performance, troubleshoot issues, and ensure compliance with data regulations.
Research Analyst: Graduates may pursue careers as research analysts, working in research institutions, think tanks, or government agencies. They collect and analyze data, conduct literature reviews, and contribute to research projects in fields such as social sciences, healthcare, education, or public policy.
Data Engineer: Graduates can work as data engineers, responsible for designing and building data pipelines, data warehouses, and ETL (Extract, Transform, Load) processes to support data analysis and decision-making. They develop scalable and reliable infrastructure to handle large volumes of data and ensure data quality and integrity.
Academic or Researcher: Graduates interested in academia or research can pursue further studies or work as researchers in universities, research institutes, or scientific organizations. They contribute to advancing knowledge in the fields of mathematics, statistics, and data science through research, publications, and teaching.
