Master of Science [M.Sc] [Data Science and Computational Intelligence] From Coventry University

Coventry, EnglandLocation
UniversitySchool type
Estd1970established year
25118enrollment
Public
Partner [23 Courses]
7.1/10

Master of Science [M.Sc] (Data Science and Computational Intelligence)

1 year
Full Time
On Campus
College Partner

₹19.1 L/Yr

£18,250 /Yr
1 Students Applied
  • Master of Science in Data Science and Computational Intelligence at Coventry University is a 1-year research-intensive program.
  • It is an on-campus program offered on a full-time basis.
  • This program introduces important frameworks which may include Hadoop Map Reduce, Spark, applications of relational databases and NoSQL databases in combination with easy to use and powerful development tools such as Scala, Python, Matlab, and R. 
  • The course is composed of a combination of modules that progressively build to the award of a Postgraduate Certificate (PgCert), Postgraduate Diploma (PgDip).
  • In the first semester, students will study 4 mandatory modules:
    • Introduction to Statistical Methods for Data Science
    • Machine Learning
    • Data Management Systems
    • Intelligent Information Retrieval
  • In the second semester, students will have the opportunity to learn the latest techniques of machine learning and computational intelligence in the Advanced Machine Learning module. 
  • In the final semester, students will undertake an in-depth individual project which may be industry-based or undertaken in collaboration with one of the university research groups.
  • The program allows students to study full-time over one year or part-time over two years, starting in September.
  • There may be opportunities to attend external talks, by the academic and research staff, as well as visiting lecturers, which aim is to bring the latest issues on a wide range of topics, such as intelligent services, image processing, and big data analytics.
  • This course is accredited and recognized by the Chartered Management Institute (CMI).
  • This master's program provides students with the additional option to apply for a work placement opportunity during their first semester.
  • Students can also apply for courses such as MSc in Computer Science.

Important Dates

Rolling Admissions are there.

Tuition Fees

Year1st Year Fees
Tuition Fees₹1914790 (GBP 18250)

Other Expenses

HeadAvg Cost Per Year
Housing₹974497 (GBP 9288)
Food₹324832 (GBP 3096)
Total Cost₹1299329 (GBP 12384)

Eligibility & Entry Requirement

Academic Eligibility:

  • Students must complete a bachelor's honours degree with a minimum of a second class from a recognized university.
  • The related fields include a UG degree in  Computer science, Mathematics, or other relevant areas.

Indian Student Eligibility:

Indian students are eligible to apply if they complete one of the following eligibility criteria:

  • Completed a 4-year bachelor's degree with first-class in a relevant field from a recognized institution.
  • Or, completed a B.Sc/B.Com/B.A (3-4 year) degree from well-ranked institutions with an overall grade of 70%.

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/PTE or any equivalent test to get admission to this program.


Scores Required

6.5 / 9

Avg. Score in

IELTS

88 / 120

Avg. Score in

TOEFL

59 / 90

Avg. Score in

PTE

299 / 340

Avg. Score in

GRE updated


Required Document List

The Documents required are:

  • Resume/CV - This provides a summary of a student's experience and skills.
  • Higher Secondary School Certificate - The certificate provided by the education board after completion of the Higher secondary education.
  • Statement of marks - The marks statement provided by the education board.
  • Letter of Recommendation - This shows who recommended the student to pursue the degree.
  • Statement of Purpose - This is an essay or any written statement written by the student while applying.
  • Financial Documentation - The Proof that shows the financial background of the student.
  • English Language Requirement - This shows the test score of English Proficiency Exams such as IELTS, TOFEL, PTE, etc.

Career and Placement after Course

The job opportunities after completion of the program are:

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Applications Architect
  • Enterprise Architect
  • Data Architect
  • Infrastructure Architect
  • Data Engineer

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Debesh Kamal ScholarshipScholarship per student₹ 1.5 L/Yr$1,385Level Of StudyBachelorTypeMerit-Based
India Postgraduate Taught Master’s ScholarshipScholarship per student₹ 3.7 L/Yr$3,555Level Of StudyMasterTypeCollege-Specific
Narotam Sekhsaria ScholarshipsScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based
Prodigy Finance-GyanDhan ScholarshipScholarship per student₹ 2.6 L/Yr$2,500Level Of StudyMasterTypeMerit-Based
Axol Science ScholarshipScholarship per student₹ 2.1 L/Yr$2,000Level Of StudyBachelorTypeCompany-Sponsored
Aga khan Foundation ScholarshipsScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based


Comments



No Comments To Show

Similar Colleges


Robert Gordon University

Robert Gordon University

Aberdeen, Scotland
University of Aberdeen

University of Aberdeen

Aberdeen, Scotland
Aberystwyth University

Aberystwyth University

Aberystwyth, Wales
University of Bath

University of Bath

Bath, England
Cranfield University

Cranfield University

Bedford, England
Queen's University Belfast

Queen's University Belfast

Belfast, Northern Ireland
Ulster University

Ulster University

Belfast, Northern Ireland
University of Reading

University of Reading

Berkshire, England
Aston University

Aston University

Birmingham, England
Videos
Write A Review & Earn Upto 10 USD*

Refer & Earn 3 USD For Every Approved Review

Cash Rewarded

$1500

Reviews Collected

3k+ Reviews

interested in this College ?

Get free counselling
Udemy course