MSc Accounting and Finance
The MSc Accounting and Finance program at Teesside University is designed to equip stud...
BSc (Hons) Data Science
London
INTAKE: Jan, Sep & Nov
Program Overview
Teesside University, located in Middlesbrough, United Kingdom, offers a cutting-edge BSc (Hons) Data Science program designed to equip students with the knowledge and skills necessary to thrive in the rapidly evolving field of data science. This interdisciplinary program integrates principles from computer science, mathematics, statistics, and domain-specific fields to analyze and derive insights from large and complex datasets, preparing students for careers in data-driven decision-making and analytics across various industries.
Curriculum: The curriculum of the BSc (Hons) Data Science program at Teesside University covers a wide range of topics essential to understanding and applying data science techniques and methodologies. Students study programming languages such as Python and R, data manipulation and visualization, statistical analysis, machine learning, data mining, big data technologies, and data ethics and privacy. The program emphasizes hands-on learning through practical projects, case studies, and real-world data analysis challenges to develop students' analytical and problem-solving abilities.
Research Focus: Teesside University places a strong emphasis on research and innovation within the field of data science. Faculty members engage in research projects exploring various aspects of data analysis, machine learning algorithms, data visualization techniques, predictive modeling, and data-driven decision-making. Students have the opportunity to participate in research activities, collaborate with faculty on research projects, and contribute to the advancement of knowledge in the field through their own research endeavors.
Industry Engagement: The BSc (Hons) Data Science program at Teesside University maintains strong connections with industry partners, technology companies, and data-driven organizations to ensure that the curriculum remains relevant to industry needs and trends. Students have access to guest lectures, workshops, and networking events with industry professionals, as well as opportunities for internships, industry projects, and work placements in data science-related roles. These industry engagements provide students with practical insights into real-world applications of data science and opportunities to develop valuable professional connections.
Global Perspective: Teesside University recognizes the global nature of data science and the importance of a global perspective in data analysis and decision-making. The BSc (Hons) Data Science program incorporates international perspectives, case studies, and discussions on global data trends, data governance, and ethical considerations in data science. Students explore the implications of cultural, social, and economic factors on data analysis practices and learn to apply data science techniques in diverse global contexts.
Location
London
Score
IELTS 6
Tuition Fee
£ 15000
Undergraduate Entry Requirements
Academic Qualifications: Students should have successfully completed their secondary education with a minimum overall score of 55% or above in the relevant qualifications or examinations recognized by Teesside University. The specific entry requirements may vary depending on the chosen course.
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, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 59 with no individual score below 59.
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.
Teesside University in the United Kingdom offers a range of scholarships and funding opportunities to support international students in their academic journey. These scholarships aim to recognize academic excellence, promote diversity, and provide financial assistance to students who demonstrate exceptional talent and potential.
Vice-Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional international students who demonstrate outstanding academic achievements. The scholarship covers a portion of the tuition fees for the duration of the program and is open to both undergraduate and postgraduate students.
International Scholarship: Teesside University offers a range of international scholarships that provide financial assistance to international students. These scholarships are merit-based and awarded on the basis of academic performance. The value of the scholarship may vary depending on the applicant's qualifications and level of study.
Country-Specific Scholarships: Teesside University offers scholarships tailored to students from specific countries or regions. These scholarships aim to promote diversity and provide financial support to students from underrepresented regions. The eligibility criteria and application process may vary depending on the specific scholarship.
External Scholarships: In addition to the university-specific scholarships, international students at Teesside University can explore external scholarship opportunities. There are various organizations, foundations, and government bodies that offer scholarships for international students studying in the UK. Teesside University provides guidance and support to help students identify and apply for these external scholarships.
It is important to note that the availability and eligibility criteria for scholarships may vary from year to year.
Teesside University, situated in Middlesbrough, United Kingdom, offers a BSc (Hons) Data Science program, providing graduates with diverse career opportunities in the rapidly growing field of data science. Equipped with advanced analytical skills, statistical knowledge, and proficiency in data manipulation and machine learning techniques, graduates of this program are well-prepared to pursue rewarding careers in various sectors that rely on data-driven decision-making and analytics.
Data Analyst: Graduates may work as data analysts, responsible for collecting, processing, and analyzing large datasets to extract meaningful insights and inform business decisions. Data analysts use statistical methods, data visualization tools, and programming languages such as Python and R to identify trends, patterns, and correlations in data and communicate findings to stakeholders effectively.
Data Scientist: Some graduates may pursue careers as data scientists, leveraging advanced analytical techniques and machine learning algorithms to develop predictive models, optimize processes, and drive innovation in organizations. Data scientists apply statistical modeling, data mining, and artificial intelligence (AI) techniques to solve complex problems, improve decision-making, and uncover hidden opportunities in data.
Machine Learning Engineer: Graduates may work as machine learning engineers, specializing in building and deploying machine learning models and algorithms for automated data analysis and pattern recognition. Machine learning engineers design and train models using techniques such as supervised learning, unsupervised learning, and deep learning to solve specific business problems and optimize decision-making processes.
Business Intelligence Analyst: Some graduates may pursue careers as business intelligence analysts, focusing on extracting actionable insights from data to support strategic planning, performance monitoring, and business optimization. Business intelligence analysts design and develop dashboards, reports, and data visualizations to provide stakeholders with timely and relevant information for decision-making and performance evaluation.
Data Engineer: Graduates may work as data engineers, responsible for designing, building, and maintaining data infrastructure and systems to support data analytics and decision-making processes. Data engineers develop data pipelines, integrate data from disparate sources, and ensure data quality, security, and availability for analysis and reporting purposes.
Big Data Analyst: Some graduates may specialize in big data analytics, working with large volumes of structured and unstructured data to uncover insights, trends, and patterns that traditional data analysis methods may overlook. Big data analysts use distributed computing frameworks such as Hadoop and Spark to process and analyze massive datasets efficiently and derive actionable insights for business optimization.
Quantitative Analyst: Graduates may pursue careers as quantitative analysts, applying mathematical and statistical techniques to financial data analysis, risk modeling, and investment strategies. Quantitative analysts develop mathematical models, perform quantitative research, and analyze market data to support trading decisions, portfolio management, and risk assessment in financial institutions and investment firms.
Data Consultant/Advisor: Some graduates may work as data consultants or advisors, providing expertise and guidance on data strategy, analytics implementation, and technology solutions to organizations seeking to leverage data for competitive advantage. Data consultants assess business needs, develop data-driven strategies, and recommend tools and methodologies to optimize data management and analytics capabilities.
