University of Greenwich
University of Greenwich

MSc Big Data and Business Intelligence

University of Greenwich, United Kingdom

Course Overview

Our Master of Arts program in Applied Linguistics is crafted to immerse students in a diverse array of subjects and perspectives pertinent to the field of linguistics. We delve into areas relevant to professional translation, the IT industry, education and language policy, language teaching, and publishing, fostering the development of your professional skills alongside theoretical comprehension. This program provides you with the opportunity to acquire advanced knowledge of various approaches to contemporary linguistic issues and a deeper understanding of the mechanisms that underlie all human language. Through the dissertation, you will conduct a sustained independent research project on a topic of your choosing. Opting for a TESOL-related research topic makes you eligible for the award of an MA in Applied Linguistics (TESOL).

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
£17275
Intake
September 2024 , January 2024
Language Proficiency

Under graduation:55%

English for HSE/SSE:70% or IELTS:6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • DEGREE TRANSCRIPT
  • PASSPORT
  • LOR 1
  • LOR 2
  • MOI
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
University of Greenwich
University Details

Syllabus
Year 1
Students must enroll in the specified mandatory modules for their coursework.

MSc Project (60 credits)
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Master's Students

In addition, students are obligated to select 15 credits from the following options:

Software Tools and Techniques (15 credits)
User-Centered Web Engineering (15 credits)
Clouds, Grids, and Virtualization (15 credits)

Furthermore, students must choose 15 credits from the subsequent list of options:

Systems Modeling (15 credits)
Data Visualization (15 credits)

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