MSc in Data Analytics

An Overview of the Degree

MSc in Data Analytics is an ideal coursework for graduates aspiring to progress in this niche domain of data analytics. It is very helpful to increase your potential and moreover combines concepts of mathematics, computing, engineering, and business to develop problem-solving skills.

Along with this, Masters in Data Analytics prepares you to succeed in industries which deal in data such as banking, healthcare, government, insurance companies, and management by allowing you to develop and assess strategies. Also, irrespective of your previous academic background, this program accommodates a range of learners who are interested in the field of data analytics with either a technical or business related aspect.

Due to the freshness of this profession, many graduates are not aware of the wide range of opportunities that this course has to offer apart from a glowing career and great salary.

 

MSc in Data Analytics

Why should I apply to Masters in Data Analytics Program?

For the students interested in enhancing their technical and problem-solving skills which are the priority requirements of the employers, the Masters in Data Analytics is the right fit for you.

Also, for those who aim to implement an independent research and analyze solutions in the field of data analytics, this program is a good choice.

Many universities send their graduates for advanced commercial research where they are given proper research environment with a variety of resources available at hand.

Furthermore, Universities like the Warwick have divided the program into two components namely the taught component and a dissertation. The taught component focuses more on acquiring expertise in technical skills.On the other side, the dissertation primarily focuses in the domain of research and application of complex topics with the assistance of industry workers.

Thus, this course can give you a great chance to build your network in the industry long before you actually join the industry.

Elective Courses

All the schools catering this program offer a wide variety of optional courses.

Few of the elective courses which a student studying M.Sc in Data Analytics can choose are:-

Data Storage & ManagementProgramming for Data Analytics
Analytical CRMNatural Language Processing
Urban DataSocial Informatics
Algorithmic Game TheoryVisualization


 Duration of MSc in Data Analytics Program

The duration of this course is normally between 18 to 36 months depending upon the School chosen.

The course is usually divided over 3 or 4 semesters with a mandatory project and internship in most of the schools.

Admission requirement for Masters in Data Analytics programs

Students who aim to get admitted to a good school for the MSc in Data Analytics must be comfortable with complex mathematical problems and have some knowledge about programming and basic computers.

However, those applicants who are not familiar with mathematics and computing can also get admission provided they take preparatory courses in Math and Computers before they join the class.

Some schools like the NYU require you to complete courses in Calculus, Linear Algebra, Computer Programming, Advanced Physics, and Engineering. Also, you are required to have obtained the first degree to an international standard of 2:1. However, failing to have this, applicants with work experience in the industry are also considered equally for the course.

 

Admission Process

The most important factor for getting admission in this course is to have 3 glowing letters of recommendation along with your essays and statement of purpose. The final selection is, however, based upon the comprehensive evaluation of your application. This includes the test scores, extracurriculars, and work experience. Any experience in the computer industry is an added advantage.

MiM-Application

Which test scores are required?

The GMAT or GRE official test score is an essential element of your application. All top universities demand a high score on these standardized tests to evaluate your mental and intellectual abilities.

Additionally, English Language Proficiency test scores are required along with the application. Some universities accept IELTS while others require TOEFL( minimum score of 100) for international applicants.

Class Profile

Here is an example of a general class profile of M.Sc in Data Analytics:

Each Class Size - 65

Median GMAT - 710

Median Quantitative GRE - 165

Age Range - 22 to 42

Average Work Experience - 1 Year

Average International Students- 45%

Background of student - Mathematics & Statistics (34%), Engineering (20%), Economics (16%) and Other Sciences (30%)

Some of the top employers hiring in this field are Facebook, Google, Amazon, eBay, Paddy Power, Capgemini, Mozilla, IBM

Pharmaceutical Industry: Janssen, Merck, GSK, J&J

Financial services Industry: Bank of Ireland, AXA, EY, Accenture, Deloitte, Citi, HSBC

Average MSc in Data Analytics Salary

An entry-level data analyst with a Masters Degree might get an average salary around $50,000-$75,000 per year. As experience increases, the average salary of a data analyst increases to higher numbers.

According to University of San Francisco (2015), the median salary for a data analyst was $110,000 per year and reached up to a maximum of $130,000 per year.

More than 95% graduates receive an offer of employment with the first three months of graduation from this program.

 

Schools that offer Masters in Data Analytics

Here is a list of Schools that offer this program:-

2016School NameCountryProgram
1University of Houston, DowntownUSAMaster in Data Analytics
2University of WarwickUKMSc in Data Analytics
3Carnegie & Mellon UniversityUSAMSc in Business Intelligence and DA
4Texas A&M UniversityUSAMaster in Analytics
5Western Governor’s UniversityUSAMSc in Data Analytics
6Northwestern UniversityUSAMSc in Analytics
7University of San FranciscoUSAMSc in Analytics
8University College DublinIrelandMSc in Data Analytics
9Cardiff UniversityUKMSc in Data Science & Analytics
10Deakin UniversityAustraliaMaster of Data Analytics
11University of Central FloridaUSAMSc in Data Analytics
12University of Chicago, Graham SchoolUSAMSc in Analytics
13Georgia TechUSAMSc in Analytics
14RMIT UniversityAustraliaMaster of Analytics
15Ryerson UniversityCanadaMSc in Data Science & Analytics
16Dublin Business SchoolIrelandMSc in Data Analytics
17National College of IrelandIrelandMSc in Data Analytics
18University of GlasgowUKMSc in Data Analytics
19Informatics Institute of TechnologySri LankaMSc in Big Data Analytics
20University of HildesheimGermanyMSc in DA

If you need a detailed profile evaluation of your chances at MSc in Data Analytics program, then check out the MiM Profile Evaluation . It will give you a good assessment of your strengths, weaknesses and overall chances at Masters in Data Analytics.