BSc (Hons) Data Science
Clifton Campus
INTAKE: September
Program Overview
The BSc (Hons) Data Science program at Nottingham Trent University (NTU) offers students a comprehensive education in the rapidly expanding field of data science. This program equips students with the skills and knowledge necessary to collect, analyze, and interpret large and complex datasets to extract valuable insights and inform decision-making. With a focus on both theoretical concepts and practical applications, students learn how to use cutting-edge tools and techniques to tackle real-world data challenges across various industries.
Curriculum: The curriculum of the BSc (Hons) Data Science program at NTU is carefully designed to cover a broad range of topics relevant to the field of data science. Students study core modules in statistics, programming, data visualization, machine learning, and data mining. They also have the opportunity to specialize in areas such as big data analytics, artificial intelligence, or business analytics through elective modules. Through hands-on projects, case studies, and industry placements, students develop the technical skills and analytical abilities necessary to succeed in the field of data science.
Research Focus: NTU has a strong research focus in data science, with faculty members engaged in cutting-edge research projects exploring various aspects of data analysis, machine learning, data privacy, and data-driven decision-making. Students in the BSc (Hons) Data Science program have the opportunity to engage with this research through research projects, dissertations, and collaborations with academics and industry partners. They learn how to apply advanced data science techniques to solve real-world problems, contributing to the advancement of knowledge in the field.
Industry Engagement: NTU maintains close ties with industry partners in sectors where data science skills are highly valued, including technology, finance, healthcare, and marketing. Through partnerships with leading companies, guest lectures, internships, and industry projects, students in the BSc (Hons) Data Science program gain practical experience and insights into the application of data science in different domains. They have the opportunity to work on real-world data projects, network with industry professionals, and gain valuable skills and knowledge that enhance their employability upon graduation.
Global Perspective: With its diverse student body and international collaborations, Nottingham Trent University offers students a global perspective on data science. The BSc (Hons) Data Science program incorporates global case studies, cross-cultural perspectives, and opportunities for international exchange. Students explore how data science is used and adapted in different parts of the world, gaining insights into global trends, challenges, and opportunities in data-driven innovation. Additionally, NTU's strong reputation attracts students and faculty from around the world, enriching the learning environment with diverse perspectives and experiences.
Location
Clifton Campus
Score
IELTS 6
Tuition Fee
£ 16500
Undergraduate Entry Requirements
Academic Qualifications: International students applying for undergraduate programs at NTU are typically required to have completed their secondary education or its equivalent. NTU expects international students to have achieved a minimum of 65% or above in their previous academic qualifications.
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 81, with at least 19 in Listening, Reading, Speaking, and Writing.
- PTE: A minimum overall score of 62 with no individual score below 51.
- 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.
These scholarships provide opportunities for talented students to pursue their studies at Nottingham Trent University:
International Vice-Chancellor's Scholarship: NTU offers the Vice-Chancellor's Scholarship for international students. This scholarship is highly competitive and awarded based on academic excellence, with a focus on the applicant's achievements and potential contributions to NTU and their chosen field of study.
International Undergraduate Scholarship: NTU provides undergraduate scholarships for international students, which are awarded based on academic achievement and cover a percentage of tuition fees for each year of study.
Country-Specific Scholarships: NTU offers scholarships tailored to students from specific countries or regions. These scholarships aim to attract talented individuals from diverse backgrounds and may have specific eligibility criteria, such as academic achievement or residency in a particular country.
External Scholarships:NTU encourages international students to explore external scholarship opportunities. There are various organizations, foundations, and governments that offer scholarships to support international students studying in the UK. NTU provides guidance and resources to help students identify and apply for these external scholarships.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the BSc (Hons) Data Science program at Nottingham Trent University (NTU) are in high demand across various industries that rely on data-driven decision-making and analytics. The program equips students with a strong foundation in data science principles, technical skills, and analytical abilities, opening doors to a wide range of career opportunities in the rapidly evolving field of data science.
Data Scientist: One of the primary career paths for graduates is as a data scientist. Data scientists collect, clean, and analyze large datasets using statistical techniques, machine learning algorithms, and programming languages such as Python or R. They extract valuable insights from data to inform business strategies, improve processes, and drive innovation. Data scientists may work for tech companies, financial institutions, healthcare organizations, or consulting firms.
Data Analyst: Graduates may pursue careers as data analysts, focusing on analyzing and interpreting data to help organizations make data-driven decisions. Data analysts clean and preprocess data, perform exploratory data analysis, and create visualizations to communicate findings effectively. They may specialize in areas such as business intelligence, marketing analytics, or customer insights. Data analysts may work for companies across various industries, including retail, e-commerce, or telecommunications.
Machine Learning Engineer: Another career pathway is in machine learning engineering. Graduates with expertise in machine learning algorithms and techniques may work as machine learning engineers, developing and deploying predictive models and algorithms for real-world applications. They may work on projects such as recommendation systems, fraud detection, or natural language processing. Machine learning engineers may work for technology companies, startups, or research institutions.
Business Intelligence Developer: Graduates may specialize in business intelligence (BI) development, focusing on designing and implementing BI solutions to support decision-making processes within organizations. Business intelligence developers build data warehouses, design dashboards and reports, and develop data-driven applications to help businesses gain insights from their data. They may work for software companies, consulting firms, or in-house IT departments.
Data Engineer: Graduates may pursue careers as data engineers, focusing on building and maintaining data pipelines and infrastructure to support data analytics and machine learning workflows. Data engineers design, develop, and optimize databases, data warehouses, and data lakes, ensuring data accessibility, reliability, and scalability. They may work with technologies such as Hadoop, Spark, or cloud-based data platforms. Data engineers may work for tech companies, fintech startups, or data-intensive industries.
Research Scientist: For students interested in research and development, the BSc (Hons) Data Science program provides a solid foundation for further study or careers in academia or research institutions. Graduates may pursue postgraduate studies in data science, machine learning, or related fields, leading to careers as research scientists, data analysts, or academic researchers, contributing to the advancement of knowledge in the field of data science.
