MSc Accounting and Financial Management
This course is designed for those seeking a higher level of education combined with the...
BSc (Hons) Data Science (with Placement)
Coventry
INTAKE: September
Program Overview
Coventry University's BSc (Hons) Data Science program, extending over four years with a dedicated placement year, offers students a comprehensive and practical education in the dynamic field of data science. This undergraduate program is designed to equip students with the necessary skills, knowledge, and experience to thrive in the rapidly evolving data-driven industries. Students gain expertise in data analysis, machine learning, programming, and data visualization, preparing them for rewarding careers in sectors ranging from finance and healthcare to marketing and technology.
Curriculum: The curriculum of the BSc (Hons) Data Science program at Coventry University is meticulously crafted to cover a wide range of subjects essential for aspiring data scientists. Core modules include data analysis, statistical modeling, machine learning, database management, and data visualization. Students 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 challenges effectively.
Research Focus: Coventry University places a strong emphasis on research within the BSc (Hons) Data Science program, encouraging students to engage critically with research literature and contribute to advancements in the field. Through research-oriented modules and the placement year, 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 extensive 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, acknowledging 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, which includes a four-year duration with a placement year, are well-equipped to pursue rewarding careers in various industries that rely on data-driven decision-making and analysis. With a solid foundation in data science principles, advanced analytical techniques, and practical experience gained during their placement, graduates have a wide range of career options available to them.
Data Scientist: Data scientists play a crucial role in extracting insights from large datasets to inform business decisions and strategies. They use advanced statistical methods, machine learning algorithms, and programming skills to analyze data, identify trends, and develop predictive models. Data scientists work across industries such as finance, healthcare, retail, and technology, helping organizations optimize processes, enhance customer experiences, and drive innovation.
Data Analyst: Data analysts are responsible for collecting, cleaning, and analyzing data to provide actionable insights to stakeholders. They use statistical techniques and data visualization tools to interpret data and communicate findings effectively. Data analysts work in various sectors, including marketing, finance, and operations, supporting decision-making processes and driving organizational performance through data-driven strategies.
Machine Learning Engineer: Machine learning engineers focus on building and deploying machine learning models to automate tasks and make predictions based on data. They work with large datasets to train models using algorithms such as neural networks, decision trees, and support vector machines. Machine learning engineers collaborate with data scientists and software developers to integrate machine learning solutions into products and services across industries such as healthcare, e-commerce, and autonomous vehicles.
Business Intelligence Developer: Business intelligence developers design and implement data solutions to support organizational decision-making and reporting. They design data warehouses, extract, transform, and load (ETL) processes, and create dashboards and reports to visualize key performance indicators. Business intelligence developers work closely with stakeholders to understand business requirements and ensure data accuracy and integrity, enabling organizations to gain actionable insights and drive strategic initiatives.
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 and security. 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 processes, and implement data-driven solutions. They conduct assessments, identify opportunities for improvement, and recommend tools and technologies to enhance data capabilities. Data consultants may work independently as freelancers or as part of consulting firms, serving clients across industries seeking to leverage data for competitive advantage.
