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Finance and Data Analytics

Social Sciences

Taught

MSc

  • Overview
  • Application Timeline
  • Tuition
  • Requirements
  • Modules
  • About
  • Subject Area Information
  • Career
  • Similar courses

Overview

The MSc Finance and Data Analytics program focuses on the intersection of big data and financial modeling, preparing students for specialist roles in finance. It equips them with essential skills in data analytics, portfolio analysis, and empirical financial methods. The University of Essex provides unique resources and practical experience through collaboration with data services and a virtual trading floor.

Application Timeline

  1. October 1, 2025
    Start date
  2. April 30, 2026
    Today

Tuition

Year 1
Student categories Study
Full-time Part-time
England£15,000N/A
Northern Ireland£15,000N/A
Scotland£15,000N/A
Wales£15,000N/A
Channel Islands£15,000N/A
Republic of Ireland£15,000N/A
EU£23,500N/A
International£23,500N/A

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

Modules is currently unavailable

Please check back later for updates.

About

The MSc Finance and Data Analytics program is designed for individuals interested in the impact of big data on financial and statistical modeling, particularly in relation to social networks and search engine analytics.

Program Relevance

This course addresses the need for finance professionals who possess a solid understanding of financial markets and can apply statistical modeling to complex data sets.

Target Audience

The program is ideal for those looking to pursue specialist roles in the finance and investments sector, with a focus on big data and data analysis.

Skills Acquired

Students will develop essential skills for the financial...

Subject Area Information

Econometrics is a specialized branch of economics that applies statistical and mathematical methods to analyze economic data and test hypotheses. It is a crucial discipline for understanding economic relationships and making informed decisions based on empirical evidence.

Typical Course Structure
  • 1. Introduction to Econometrics

  • 2. Intermediate Econometrics

  • 3. Time Series Econometrics

  • 4. Advanced Econometric Methods

  • 5. Applied Econometrics

Typical Skills Acquired
  • Statistical Analysis
  • Data Management
  • Software Proficiency
  • Critical Thinking
  • Problem-Solving

Career

Graduates with a background in econometrics have a wide array of career opportunities, combining economic theory with statistical methods to analyze and interpret economic data.

Potential Professions
  • Economic Analyst

    Working in government agencies, think tanks, or international organizations to analyze economic policies and trends.

  • Financial Analyst

    Employed by banks, investment firms, or insurance companies to forecast financial markets and assess investment risks.

  • Data Scientist

    Utilizing econometric skills in tech companies or consulting firms to analyze big data and inform business strategies.

  • Academic Researcher

    Pursuing a career in academia, conducting research, and teaching econometrics and related subjects.

  • Policy Advisor

    Advising policymakers on the economic impact of legislation and public policies.

Similar courses

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Wivenhoe Park, Colchester, CO4 3SQ
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Contact

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Wivenhoe Park, Colchester, CO4 3SQ
Get expert guidance

Enhance your academic journey with the help from our experts.

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