MSc Accounting and Finance
The MSc Accounting and Finance program at the University of Portsmouth is designed to p...
BSc (Hons) Data Science and Analytics
Portsmouth
INTAKE: September
Program Overview
The BSc (Hons) Data Science and Analytics program at the University of Portsmouth, UK, is designed to equip students with the skills and knowledge necessary to excel in the rapidly growing field of data science. This interdisciplinary program combines aspects of computer science, mathematics, and statistics with practical applications in data analysis, machine learning, and data visualization. Students learn to collect, process, and interpret large datasets to extract valuable insights and inform decision-making across various industries. With a focus on practical skills development and real-world projects, graduates are prepared for careers in data-driven industries such as finance, healthcare, marketing, and technology.
Curriculum: The curriculum of the BSc (Hons) Data Science and Analytics program is structured to provide students with a solid foundation in key areas of data science. Core modules cover topics such as programming fundamentals, database management, statistical analysis, machine learning techniques, and data visualization. Students also have the opportunity to specialize in areas such as big data analytics, artificial intelligence, or business analytics through elective modules. Practical projects and case studies allow students to apply their knowledge and skills to real-world data analysis challenges, developing critical thinking abilities and problem-solving skills essential for success in the field of data science.
Research Focus: The BSc (Hons) Data Science and Analytics program places a strong emphasis on research-led teaching, with opportunities for students to engage in independent research projects and applied research collaborations. Research-focused modules provide students with training in research methods, data collection, and analysis techniques. Students have the opportunity to explore cutting-edge research topics in data science, collaborate with faculty on research projects, and contribute to advancements in the field through their own research findings.
Industry Engagement: The University of Portsmouth fosters strong connections with industry partners, providing students with opportunities for industry placements, internships, and collaborative projects. The BSc (Hons) Data Science and Analytics program includes guest lectures, workshops, and networking events featuring industry professionals from leading companies in sectors such as finance, healthcare, technology, and consulting. Industry placements allow students to gain valuable hands-on experience working on real-world data science projects, develop professional skills, and build networks within the data science community.
Global Perspective: The BSc (Hons) Data Science and Analytics program at the University of Portsmouth promotes a global perspective by addressing data science challenges and opportunities within a broader social, economic, and cultural context. Students study global trends in data usage, ethical considerations in data science, and cross-cultural differences in data privacy and regulation. International case studies, research collaborations, and study abroad opportunities allow students to gain insights into different approaches to data science and analytics around the world, preparing them for careers in global organizations and multinational corporations.
Location
Portsmouth
Score
IELTS 6
Tuition Fee
£ 19200
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65 to 70% 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 79, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 17 in Writing.
- PTE Academic: A minimum overall score of 54 with no individual score below 51.
- DET (Duolingo English Test): A minimum score of 105 is required.
- 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.
The University of Portsmouth offers a range of scholarships and funding opportunities to support students in their academic journey. These scholarships are aimed at both domestic and international students and are awarded based on various criteria such as academic excellence, financial need, and specific areas of study.
Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional students who demonstrate academic excellence and potential. It provides a significant fee reduction for the duration of the student's course.
Vice-Chancellor's Global Development Scholarship: This scholarship is available to international students from selected countries who are applying for undergraduate or postgraduate taught courses. It offers a fee reduction of up to £4,000.
Country-Specific Scholarships: The university offers scholarships specifically for students from certain countries or regions. These scholarships vary in value and eligibility criteria.
Sports Scholarships: The University of Portsmouth recognizes the achievements of talented athletes and offers sports scholarships to support their development and academic success. These scholarships provide financial support, training facilities, and other benefits.
Departmental Scholarships: Some academic departments at the University of Portsmouth offer scholarships to students who demonstrate exceptional academic performance or have a particular interest in a specific field of study. These scholarships are often subject-specific and may vary in terms of eligibility and value.
Graduates of the BSc (Hons) Data Science and Analytics program at the University of Portsmouth, UK, are well-equipped to pursue a variety of rewarding career opportunities in the rapidly expanding field of data science and analytics. With a strong foundation in data analysis, machine learning, and statistical modeling, graduates are in high demand across diverse industries seeking to leverage data-driven insights for decision-making and innovation.
Data Scientist: Data scientists are responsible for collecting, processing, and analyzing large datasets to extract actionable insights and inform strategic business decisions. They utilize advanced statistical techniques, machine learning algorithms, and data visualization tools to uncover patterns, trends, and correlations within data. Data scientists work in industries such as finance, healthcare, e-commerce, and technology, helping organizations optimize processes, improve products, and drive business growth through data-driven strategies.
Business Analyst: Business analysts use data analysis techniques to identify business trends, opportunities, and challenges, helping organizations make informed decisions and achieve strategic objectives. They collaborate with stakeholders to define business requirements, analyze data from various sources, and develop actionable recommendations to improve performance, optimize operations, and enhance customer experiences.
Data Engineer: Data engineers design and build data pipelines, infrastructure, and systems to efficiently collect, store, and process large volumes of data. They work with databases, cloud computing platforms, and big data technologies to ensure data quality, reliability, and accessibility for analytics purposes. Data engineers play a crucial role in enabling data-driven decision-making and implementing scalable data solutions for organizations.
Machine Learning Engineer: Machine learning engineers develop and deploy machine learning models and algorithms to solve complex business problems and automate decision-making processes. They work with data scientists and software developers to design, train, and optimize machine learning models using techniques such as neural networks, deep learning, and natural language processing. Machine learning engineers are in demand across industries such as finance, healthcare, autonomous vehicles, and robotics.
Data Analyst: Data analysts collect, clean, and analyze data to provide insights and support decision-making within organizations. They use statistical methods, data visualization tools, and programming languages to identify trends, patterns, and outliers in data, helping stakeholders understand performance metrics, customer behavior, and market trends. Data analysts work in industries such as marketing, finance, retail, and healthcare, providing valuable insights to drive business growth and optimize operations.
Quantitative Analyst: Quantitative analysts, also known as quants, use mathematical and statistical models to analyze financial markets, risk factors, and investment strategies. They work for investment banks, hedge funds, and financial institutions, developing quantitative models to evaluate portfolio performance, assess market risk, and inform investment decisions. Quantitative analysts require strong analytical skills, programming proficiency, and knowledge of financial markets and instruments.
Data Consultant: Data consultants provide advisory services and solutions to help organizations harness the power of data and analytics for strategic advantage. They work with clients to assess data needs, develop analytics strategies, and implement data-driven solutions to address business challenges and opportunities. Data consultants may specialize in areas such as business intelligence, data governance, or predictive analytics, serving clients across industries seeking to optimize their data capabilities.
Research Scientist: Research scientists conduct scientific research and experiments to advance knowledge and understanding in the field of data science and analytics. They work in academic institutions, research laboratories, and technology companies, exploring new methodologies, algorithms, and applications in areas such as machine learning, artificial intelligence, and data visualization. Research scientists contribute to the development of cutting-edge technologies and innovations that shape the future of data science.
Data Privacy and Security Specialist: Data privacy and security specialists focus on protecting sensitive data and ensuring compliance with privacy regulations and security standards. They assess data privacy risks, develop security policies and procedures, and implement safeguards to safeguard data against unauthorized access, breaches, and cyber threats. Data privacy and security specialists work in industries such as healthcare, finance, and technology, helping organizations maintain the confidentiality, integrity, and availability of their data assets.
Healthcare Informatics Specialist: Healthcare informatics specialists leverage data science and analytics techniques to improve patient care, healthcare outcomes, and operational efficiency within healthcare organizations. They analyze electronic health records, medical imaging data, and clinical data to identify trends, patterns, and opportunities for quality improvement and cost reduction. Healthcare informatics specialists work closely with clinicians, administrators, and IT teams to implement data-driven solutions that enhance patient safety and healthcare delivery.
