MSc Accounting and Financial Management
This course is designed for those seeking a higher level of education combined with the...
BSc (Hons) Data Science
Coventry
INTAKE: September
Program Overview
Coventry University's BSc (Hons) Data Science program offers students a comprehensive education in the rapidly evolving field of data science. This undergraduate program equips students with the knowledge, skills, and practical experience necessary to analyze and extract insights from large datasets, making data-driven decisions in various industries. The program emphasizes the use of advanced statistical techniques, machine learning algorithms, and programming languages to address complex data challenges and drive innovation.
Curriculum: The curriculum of the BSc (Hons) Data Science program at Coventry University is designed to cover a wide range of topics essential for data scientists. Students engage in core modules such as data analysis, statistical modeling, machine learning, database management, and data visualization. They also have the opportunity to specialize in areas such as big data analytics, artificial intelligence, predictive modeling, and data ethics. Practical skills are developed through hands-on projects, industry case studies, and internships, ensuring students can apply theoretical knowledge to real-world data problems effectively.
Research Focus: Coventry University promotes a research-focused approach within the BSc (Hons) Data Science program, encouraging students to engage with cutting-edge research in data science and contribute to advancements in the field. Through research-oriented modules and final-year projects, students have the opportunity to explore topics such as data mining, natural language processing, deep learning, and data privacy. They develop critical thinking skills, research methodologies, and the ability to innovate and solve complex data challenges.
Industry Engagement: The BSc (Hons) Data Science program at Coventry University emphasizes strong industry engagement to ensure students are well-prepared for careers in data science and related fields. Students benefit from guest lectures, seminars, and workshops delivered by industry practitioners, data scientists, and technology experts. Work placements and internships provide students with valuable hands-on experience in companies and organizations, allowing them to apply their data science skills in real-world settings and build professional networks.
Global Perspective: Coventry University integrates a global perspective into the BSc (Hons) Data Science program, recognizing the global demand for data-driven insights and solutions. Students explore international case studies, collaborate on global research projects, and engage with diverse datasets from different geographic regions and industries. Opportunities for international study exchanges, research collaborations, and industry partnerships broaden students' perspectives and prepare them to work in global teams and address data challenges in international contexts.
Location
Coventry
Score
IELTS 6
Tuition Fee
£ 18050
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% 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 overall score of 79, with at least 18 in Listening , Reading , Speaking, and Writing.
- PTE Academic: A minimum overall score of 65 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.
Coventry University offers a range of scholarships and bursaries to undergraduate international students, based on academic merit and financial need.
Future Global Leaders Scholarship: This scholarship is available for undergraduate and postgraduate students and covers up to 50% of the tuition fees. It is awarded based on academic excellence, extracurricular activities, and leadership skills.
Sports Scholarships: Coventry University offers sports scholarships to students who excel in their chosen sport. The scholarship covers financial support, coaching, and access to university sports facilities.
GREAT Scholarships: Coventry University is a partner of the GREAT Scholarship Scheme, which offers scholarships to students from selected countries. The scholarship covers up to £10,000 of tuition fees.
Coventry University Alumni Discount: Coventry University offers a 15% discount on the tuition fees for international students who have previously studied at the university.
It is important to note that eligibility criteria, application deadlines, and award amounts vary for each scholarship.
Graduates of Coventry University's BSc (Hons) Data Science program are well-positioned to pursue diverse and rewarding career paths in the rapidly expanding field of data science. With a strong foundation in statistical analysis, machine learning, programming, and data management, graduates are highly sought after by a wide range of industries seeking to leverage data-driven insights for strategic decision-making and innovation.
Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting large datasets to extract actionable insights and drive informed decision-making. They employ advanced statistical techniques, machine learning algorithms, and programming languages to uncover patterns, trends, and correlations in data. Data scientists work across various industries, including finance, healthcare, retail, and technology, using their analytical skills to solve complex business problems and optimize processes.
Data Analyst: Data analysts focus on collecting, cleaning, and organizing data to facilitate analysis and reporting. They work closely with stakeholders to understand business requirements, develop data models, and generate reports and visualizations to communicate key findings. Data analysts may specialize in areas such as marketing analytics, financial analysis, or business intelligence, providing valuable insights to support strategic planning and decision-making within organizations.
Machine Learning Engineer: Machine learning engineers design, build, and deploy machine learning models and algorithms to automate tasks, predict outcomes, and optimize processes. They work with large datasets to train and test models using techniques such as supervised learning, unsupervised learning, and deep learning. Machine learning engineers collaborate with data scientists and software engineers to integrate machine learning solutions into products and systems across industries such as healthcare, e-commerce, and autonomous vehicles.
Business Intelligence Developer: Business intelligence developers design and implement data warehousing solutions and reporting systems to support organizational decision-making. They extract, transform, and load data from multiple sources into data warehouses, design dashboards and reports to visualize key performance indicators, and optimize data structures for efficient querying and analysis. Business intelligence developers play a critical role in helping businesses gain actionable insights from their data to drive strategic initiatives and improve performance.
Data Engineer: Data engineers are responsible for building and maintaining data pipelines and infrastructure to support data-driven applications and analytics workflows. They design and implement scalable data architectures, integrate data from disparate sources, and ensure data quality, security, and integrity. Data engineers work closely with data scientists and software engineers to deploy machine learning models, enable real-time analytics, and support data-driven decision-making within organizations.
Data Consultant/Analyst: Data consultants or analysts provide expert advice and guidance on data-related issues, helping organizations develop data strategies, optimize data processes, and implement data-driven solutions. They conduct assessments, identify opportunities for improvement, and recommend tools and technologies to enhance data capabilities and achieve business objectives. Data consultants may work independently as freelancers or as part of consulting firms, serving clients across industries seeking to leverage data for competitive advantage.
