MSc Business & Management (MBM)
The MSc Business & Management program at the University of Strathclyde is designed ...
BSc (Hons) Data Analytics with Work Placement
Glasgow
INTAKE: September
Program Overview
The BSc (Hons) Data Analytics with Work Placement program at the University of Strathclyde is designed to equip students with the knowledge and skills necessary to analyze large datasets and extract actionable insights. This interdisciplinary program combines elements of statistics, computer science, and business intelligence to prepare students for careers in data analytics across various industries. Students learn how to collect, clean, process, and visualize data using advanced analytical tools and techniques. The program emphasizes hands-on learning through practical projects, case studies, and a work placement, providing students with real-world experience in data analytics.
Curriculum: The curriculum of the BSc (Hons) Data Analytics with Work Placement program covers a range of topics essential for understanding and applying data analytics principles and methods. Core modules include data visualization, statistical analysis, machine learning, data mining, and big data analytics. Students also study programming languages such as Python and R, database management systems, and business intelligence tools. The program includes a work placement module where students gain practical experience working on real data analytics projects in industry, applying their skills and knowledge in a professional setting.
Research Focus: Research is an integral part of the BSc (Hons) Data Analytics with Work Placement program at the University of Strathclyde. Students have the opportunity to engage in research projects that explore cutting-edge topics in data analytics, such as predictive modeling, natural language processing, and deep learning. Research-focused modules provide students with the opportunity to work closely with faculty members on research initiatives, contribute to research papers, and present their findings at conferences and seminars. Through research, students develop critical thinking skills, analytical abilities, and a deeper understanding of data analytics concepts and methodologies.
Industry Engagement: The University of Strathclyde emphasizes industry engagement in the BSc (Hons) Data Analytics with Work Placement program to ensure students gain practical experience and industry-relevant skills. The work placement module allows students to spend a significant period of time working in a professional data analytics environment, applying their knowledge and skills to solve real-world problems. Industry partners provide students with mentorship, guidance, and feedback, helping them develop professional competencies and build valuable connections in the field of data analytics.
Global Perspective: As a globally-focused institution, the University of Strathclyde integrates a global perspective into the BSc (Hons) Data Analytics with Work Placement program. Students study data analytics within a broader international context, exploring global trends in data science, ethical considerations, and regulatory frameworks. The program offers opportunities for international study exchanges, research collaborations, and work placements abroad, allowing students to gain cross-cultural experiences and develop a global mindset. This global perspective prepares students to work effectively in multicultural teams, address global challenges, and contribute to the advancement of data analytics on a global scale.
Location
Glasgow
Score
IELTS 6.5
Tuition Fee
£ 17400
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70 to 75% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 90, with at least 19 in Listening, Reading, Speaking, and Writing.
- PTE Academic: 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.
The University of Strathclyde offers a range of scholarships and financial aid options to support students in their academic journey. These scholarships are designed to recognize excellence, provide access to education, and support students in pursuing their goals.
Excellence Scholarship: The Excellence Scholarship is awarded to high-achieving students entering undergraduate programs at the University of Strathclyde. It provides a financial contribution towards tuition fees and is available for both Scottish and international students.
Faculty-specific Scholarships: Many faculties within the University of Strathclyde offer scholarships tailored to specific areas of study. These scholarships aim to attract exceptional students and provide them with financial support throughout their academic program.
International Undergraduate Scholarship: This scholarship is available to international undergraduate students who have demonstrated academic excellence. It offers a financial award towards tuition fees and is renewable for subsequent years based on satisfactory academic progress.
Graduates of the BSc (Hons) Data Analytics with Work Placement program at the University of Strathclyde are well-equipped for a variety of exciting career opportunities in the rapidly expanding field of data analytics.
Data Analyst: Graduates can pursue careers as data analysts, responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights. They work with statistical tools and programming languages to extract valuable information from data, helping organizations make data-driven decisions.
Business Intelligence Analyst: Graduates may work as business intelligence analysts, providing strategic insights to organizations by analyzing data related to sales, marketing, operations, and finance. They develop dashboards, reports, and visualizations to communicate key metrics and performance indicators, supporting business decision-making processes.
Data Scientist: Graduates can become data scientists, leveraging advanced analytical techniques and machine learning algorithms to solve complex business problems. They develop predictive models, recommendation systems, and data-driven solutions to optimize processes, improve products, and enhance customer experiences.
Data Engineer: Graduates may pursue careers as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure. They develop databases, data warehouses, and ETL (extract, transform, load) processes to ensure the efficient and reliable storage and retrieval of data for analysis.
Data Architect: Graduates can work as data architects, designing the overall structure and architecture of data systems and databases. They define data requirements, standards, and models, ensuring that data is organized, integrated, and accessible for analysis and reporting purposes.
Database Administrator: Graduates may become database administrators, responsible for managing and optimizing databases to ensure their security, performance, and reliability. They monitor database activity, perform backups and recovery procedures, and implement data integrity and access controls.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, specializing in the development and deployment of machine learning models and algorithms. They work on projects such as natural language processing, image recognition, and predictive analytics, applying machine learning techniques to solve specific business problems.
Research Analyst: Graduates may work as research analysts, conducting data-driven research and analysis in academic, government, or corporate settings. They collect and analyze data to support research projects, policy development, market studies, or industry reports, providing valuable insights and recommendations based on their findings.
Data Consultant: Graduates can become data consultants, providing advisory services to organizations on data strategy, governance, and implementation. They assess organizational needs, develop data management plans, and recommend technologies and solutions to help organizations leverage data for competitive advantage.
Data Product Manager: Graduates may pursue careers as data product managers, overseeing the development and launch of data products and services. They collaborate with cross-functional teams to define product requirements, prioritize features, and deliver data-driven solutions that meet customer needs and business objectives.
