MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
Colchester Campus
INTAKE: October
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.
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.
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.
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.
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.
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.
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.
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.
Colchester Campus
IELTS 6.5
£ 20350
Postgraduate Entry Requirements:
Students must provide:
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.
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.
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.
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.
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.
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.
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.
Data Consultant: Graduates can work as data consultants, providing advisory services to organizations on their data strategy, analytics implementation, and decision-making processes.
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.