MSc Big Data and Text Analytics

Colchester Campus

 

INTAKE: October

Program Overview

The MSc Big Data and Text Analytics program at the University of Essex focuses on developing students' expertise in handling large-scale data sets and applying advanced analytics techniques to extract meaningful information. 

  1. Data Management: Students learn about data management principles, including data collection, storage, preprocessing, and integration. They gain hands-on experience with various database technologies and data manipulation tools to handle big data efficiently.

  2. Data Analytics Techniques: The program provides a comprehensive understanding of various data analytics techniques, such as data mining, machine learning, natural language processing, and text analytics. Students learn how to apply these techniques to extract insights and patterns from structured and unstructured data.

  3. Programming and Statistical Skills: Students acquire programming skills in languages such as Python and R, enabling them to develop custom data analytics solutions. They also gain proficiency in statistical analysis, hypothesis testing, and experimental design for data-driven decision-making.

  4. Text Analytics and Natural Language Processing: The program focuses on text analytics and natural language processing techniques to extract meaningful information from textual data. Students learn to process, analyze, and interpret unstructured text data, enabling them to uncover valuable insights from documents, social media, and other textual sources.

  5. Visualization and Communication: Students learn to effectively visualize and communicate data-driven insights to various stakeholders. They gain knowledge of data visualization tools and techniques to create compelling visual representations that facilitate understanding and decision-making.

  6. Ethical and Legal Considerations: The program emphasizes the ethical and legal aspects of working with big data. Students learn about privacy concerns, data protection regulations, and ethical guidelines for responsible data usage.

  7. Industry Collaboration: The University of Essex has strong connections with industry partners, providing students with opportunities for industry collaborations, guest lectures, and real-world projects. This allows students to gain practical experience and build professional networks in the field of big data and text analytics.

Pollster Education

Location

Colchester Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 20350

Postgraduate Entry Requirements:

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of  50 to 55% or equivalent.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
    • TOEFL: A minimum overall score of 90.
    • PTE Academic: A minimum overall score of 62 with no individual score below 51.
  • Some postgraduate 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.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It is important to note that entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.

The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.  

  1. Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.
  2. International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.
  3. Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.
  4. Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.
  5. Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.
  6. Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.

It is important to note that scholarship availability, eligibility criteria, and application processes may change over time. 

Graduates of the MSc Big Data and Text Analytics program have a wide range of career prospects in diverse industries. 

  1. Data Analyst: Graduates can work as data analysts, utilizing their expertise in big data and text analytics to extract insights and provide data-driven recommendations for business decision-making.

  2. Data Scientist: Graduates can pursue careers as data scientists, employing advanced analytics techniques to solve complex problems and uncover hidden patterns in large datasets. They work on projects involving machine learning, predictive modeling, and text mining.

  3. Business Intelligence Analyst: Graduates can work as business intelligence analysts, leveraging their skills in big data analytics to help organizations make informed strategic decisions and optimize business operations.

  4. Data Engineer: Graduates can pursue careers as data engineers, focusing on the development and management of big data infrastructure. They design and implement scalable data processing pipelines and ensure data quality and integrity.

  5. Text Analyst: Graduates can specialize in text analytics and work as text analysts, responsible for extracting meaningful information from textual sources. They apply natural language processing techniques to analyze sentiment, categorize documents, and automate text-based processes.

  6. Data Consultant: Graduates can work as data consultants, providing advisory services to organizations on their data strategy, analytics implementation, and decision-making processes.

  7. Research Scientist: Graduates can pursue research-oriented careers, either in academia or research institutes, conducting cutting-edge research in the field of big data and text analytics. They contribute to advancing the knowledge and applications of data science.


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