BSc Economics with Data Science

Southampton

 

INTAKE: September

Program Overview

The BSc Economics with Data Science program at the University of Southampton is a cutting-edge and interdisciplinary degree that combines the foundational principles of economics with a strong emphasis on data science. This innovative program aims to equip students with the analytical skills and data-driven insights necessary to navigate the complex landscape of economics in the digital age.

Curriculum: The curriculum is meticulously designed to integrate economic theories with practical data science techniques. Students delve into core concepts of microeconomics, macroeconomics, econometrics, and statistical analysis. Additionally, the program includes specialized modules in data science, covering topics such as data visualization, machine learning, and big data analytics. This dual focus ensures that graduates possess a comprehensive skill set that is highly relevant in today's data-driven economy.

Research Focus: The University of Southampton places a significant emphasis on research, and this focus is embedded in the BSc Economics with Data Science program. Students are encouraged to engage in research projects that explore the intersection of economics and data science. The faculty's research spans various areas, including applied econometrics, data-driven economic modeling, and the development of innovative data analytics tools, providing students with exposure to the latest advancements in the field.

Industry Engagement: The program actively fosters connections with industries at the forefront of data-driven decision-making. Guest lectures from industry professionals, collaborative projects with businesses, and opportunities for internships with data-centric organizations are integrated into the curriculum. This industry engagement ensures that students gain practical experience and understand the real-world applications of data science in economic analysis.

Global Perspective: Recognizing the global nature of economic challenges and data science applications, the BSc Economics with Data Science program incorporates a global perspective. Students explore international economic trends, analyze global datasets, and consider the impact of globalization on economic phenomena. The program encourages participation in international research collaborations and exposes students to diverse economic systems and datasets from around the world.

Pollster Education

Location

Southampton

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 20340

Undergraduate Entry Requirements

Academic Qualifications: Prospective undergraduate students are required to demonstrate academic prowess by achieving a minimum of 75% in their Higher Secondary Certificate or Standard 12 examinations. This criterion underscores the university's commitment to admitting students with a strong academic foundation.

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 92 on the TOEFL is accepted, with no sub-score in any section falling below 21.
  • PTE: A minimum overall score of 62 with no individual score below 58.
  • DET (Duolingo English Test): 110.
  • 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.

At the heart of the University of Southampton's education lies its diverse scholarship program. These scholarships are strategically designed to cater to the varied needs and aspirations of students, recognizing and rewarding excellence across different dimensions.

Merit-Based Scholarships: Recognizing Academic Brilliance: Merit-based scholarships at the University of Southampton serve as a testament to the institution's dedication to academic excellence. These scholarships are bestowed upon students with exceptional academic achievements, encouraging and rewarding their learning. Whether in science, humanities, or business, these scholarships recognize brilliance across various disciplines.

Need-Based Scholarships: Breaking Financial Barriers: Understanding the financial constraints that students may face, the university offers need-based scholarships. Tailored to support students with demonstrated financial need, these scholarships aim to ensure that economic challenges do not impede their educational journey. This initiative reflects the university's belief in the transformative power of education for all.

Subject-Specific Scholarships: Fostering Excellence in Targeted Fields: For students with a passion for specific courses or disciplines, subject-specific scholarships are a gateway to realizing their potential. These scholarships are crafted to encourage excellence in targeted areas of study, motivating students to delve deeper into their chosen fields and contribute meaningfully to their academic communities.

International Student Scholarships: Embracing Diversity: In a globalized world, the University of Southampton actively embraces diversity through international student scholarships. These scholarships are designed to attract and support students from around the world, fostering a multicultural academic environment. The aim is to help international students integrate seamlessly into the university community, ensuring a rich and inclusive learning experience.

Graduates from the BSc Economics with Data Science program at the University of Southampton possess a unique skill set that merges economic expertise with advanced data science capabilities. This combination opens up diverse and in-demand career options at the intersection of economics and data analytics.

Data Analyst/Economist: One of the primary career paths for graduates is as data analysts or economists. They can work for government agencies, research institutions, or private organizations, analyzing large datasets to derive economic insights and inform policy decisions.

Quantitative Analyst in Finance: Graduates can pursue careers as quantitative analysts in the financial sector. They may work for investment banks, hedge funds, or asset management firms, utilizing their data science skills to model financial instruments, assess risks, and make informed investment decisions.

Data Scientist in Tech Companies: With a strong foundation in both economics and data science, graduates are well-suited for roles as data scientists in technology companies. They may work on projects related to customer behavior analysis, predictive modeling, and algorithm development to drive business strategies.

Business Intelligence Analyst: Graduates can enter the business world as business intelligence analysts. They may work for companies across various industries, transforming data into actionable insights to guide decision-making processes and improve overall business performance.

Policy Analyst in Think Tanks or NGOs: For those interested in influencing public policy, graduates can pursue roles as policy analysts in think tanks, non-governmental organizations (NGOs), or government agencies. They may leverage their data science skills to conduct research and shape evidence-based policy recommendations.

Risk Analyst in Financial Institutions: Given their expertise in data-driven risk assessment, graduates can explore careers as risk analysts in financial institutions. They may assess and mitigate financial risks associated with investments, loans, and other financial transactions.

Data Engineer/Database Administrator: Graduates can specialize in managing and optimizing databases as data engineers or database administrators. They may work on designing data systems, ensuring data integrity, and implementing data security measures.

Machine Learning Engineer: For those inclined towards machine learning, graduates can pursue careers as machine learning engineers. They may work on developing algorithms, predictive models, and automated decision-making systems in industries such as finance, healthcare, or e-commerce.


Similar Courses
WhatsApp Enquiry Call Enquiry