MSc Finance and Accounting
The MSc Finance and Accounting program at the University of Wolverhampton is designed t...
BSc (Hons)Data Science with Sandwich Placement
Wolverhampton City Campus
INTAKE: September
Program Overview
The BSc (Hons) Data Science with Sandwich Placement program at the University of Wolverhampton offers students a comprehensive education in data science, combined with valuable industry experience gained through a year-long sandwich placement. This program is designed to equip students with the skills and knowledge required to analyze, interpret, and derive insights from complex datasets, preparing them for careers in data analytics, machine learning, and artificial intelligence. The curriculum covers a wide range of topics, including data visualization, statistical analysis, programming languages such as Python and R, machine learning algorithms, and database management. Students have the opportunity to apply their learning in real-world settings through a sandwich placement, gaining practical experience and industry exposure. Upon completion of the program, graduates are well-equipped to pursue diverse and rewarding careers in the rapidly evolving field of data science.
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Comprehensive Curriculum: The program covers a broad range of data science topics, including statistical analysis, machine learning, data visualization, and database management, providing students with a solid foundation in core concepts and techniques.
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Hands-on Learning: Students engage in practical, hands-on learning experiences through labs, projects, and real-world case studies, gaining proficiency in tools and technologies commonly used in the field of data science.
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Sandwich Placement: The inclusion of a year-long sandwich placement allows students to gain valuable industry experience and apply their learning in real-world settings. This practical experience enhances students' employability and provides them with insights into industry practices and challenges.
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Industry-Relevant Skills: The program focuses on developing industry-relevant skills such as data analysis, problem-solving, critical thinking, and communication, ensuring that graduates are well-prepared for the demands of the workplace.
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Career Preparation: Graduates of the program are prepared for a wide range of career opportunities in data science, including roles such as data analyst, machine learning engineer, business intelligence developer, and data scientist. The combination of theoretical knowledge and practical experience equips graduates to excel in diverse and dynamic roles within the field of data science.
Location
Wolverhampton City Campus
Score
IELTS: 6
Tuition Fee
£ 14450
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60 to 65% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- TOEFL: A minimum score of 80, with a minimum of 20 in each component.
- PTE: A minimum overall score of 59, with no individual score below 51.
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.
The University of Wolverhampton offers various scholarships and financial support opportunities to help students with their educational expenses. These scholarships are available for both undergraduate and postgraduate students and are awarded based on different criteria such as academic merit, financial need, and specific eligibility requirements.
Vice-Chancellor's International Scholarships: These scholarships are available for international students applying to full-time undergraduate or postgraduate programs. The scholarships provide a reduction in tuition fees and are awarded based on academic achievement.
Academic Excellence Scholarship: This scholarship is open to both domestic and international students entering their first year of an undergraduate program. It rewards high-achieving students with a reduction in tuition fees for the first year of study.
Postgraduate Global Opportunities Scholarship: This scholarship is available for international students applying to a taught postgraduate program. It provides a reduction in tuition fees and is based on academic merit and a statement of purpose.
Sports Scholarships: The university offers sports scholarships to support talented athletes who have achieved a high level of performance in their sport. These scholarships provide financial support and various benefits to help athletes balance their studies and training.
Alumni Discount: The University of Wolverhampton offers a discount on tuition fees for eligible alumni who choose to pursue further studies at the university.
Graduating with a BSc (Hons) in Data Science with Sandwich Placement from the University of Wolverhampton opens up exciting and diverse career opportunities in the field of data analytics, machine learning, and artificial intelligence. This program equips students with a blend of theoretical knowledge, practical skills, and industry experience gained through a year-long sandwich placement, preparing them for success in data-driven roles across various industries.
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Data Scientist: Graduates can pursue roles as data scientists, responsible for analyzing complex datasets, building predictive models, and deriving actionable insights to drive business decisions and strategies.
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Data Analyst: Graduates may work as data analysts, collecting, cleaning, and interpreting data to identify trends, patterns, and correlations that inform organizational decision-making.
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Machine Learning Engineer: Graduates with expertise in machine learning can specialize as machine learning engineers, developing algorithms and systems that automate processes and improve performance based on data-driven insights.
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Business Intelligence Developer: Graduates can focus on business intelligence, designing and implementing data warehouses, dashboards, and reporting tools to facilitate data-driven decision-making within organizations.
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Data Engineer: Graduates may pursue roles as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure to support data analysis and machine learning applications.
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Quantitative Analyst (Quant): Graduates interested in finance can work as quantitative analysts, applying mathematical and statistical methods to analyze financial data and develop trading strategies.
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Research Scientist: Graduates can pursue research roles in academia, industry, or government, conducting research in areas such as artificial intelligence, computational biology, or data-driven social sciences.
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Health Data Analyst: Graduates interested in healthcare analytics can work as health data analysts, leveraging data to improve patient care, optimize healthcare operations, and support medical research.
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Data Consultant: Graduates can provide consulting services to organizations on data strategy, analytics implementation, and technology adoption to optimize business performance and decision-making.
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Data Science Entrepreneur: Graduates with entrepreneurial ambitions can start their own data science consulting firms or technology startups, offering specialized data analytics services or developing innovative data-driven solutions.
