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Data and analytics - Admissions & Scope

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auckland, New Zealand
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3 years
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33688
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Band 6
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3 years
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33688
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Band 6
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39584
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Mar, Jul
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1.5 years
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42606
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Band 6.5
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Mar
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singapore, Singapore
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2 years
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15005
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Aug
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16700
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Aug
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2 years
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17100
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cambridge, United States
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singapore, Singapore
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17450
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Band 6.5
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Feb
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auckland, New Zealand
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3 years
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31830
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Band 6
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Feb, Jul
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4 years
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15500
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19200
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dublin, Ireland
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1 years
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14500
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christchurch, New Zealand
Rank : #4
Duration -  
1 years
1 year Fee -  
25000
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Band 6.5
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Feb, Jul
Duration -  
3 years
1 year Fee -  
32000
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Band 6
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Feb, Jul
Duration -  
1 years
1 year Fee -  
37500
IELTS -  
Band 6.5
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Feb, Jul
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Updated on - November 7th 2019 by Rachit Agrawal

Overview

 In literal terms, Data Analytics or Data Analysis means to analyse the data and produce or interpret results. Data analytics refers to the technological field where the data that is generated is extracted, enhanced and analysed using quantitative and qualitative techniques and thereby interpret results. Such results are important in various fields of Management like decision making. In simple words, data analytics simply involves the processing of the already available or generated large amounts of data by analysing their pattern or trend and deriving meaning for better future results. It is a majorly a field of Science and Engineering or Statistics, but is widely recognised as mandatory to-have skill as required by every manager in any industry. The study includes the basic skill set requirement of Mathematics, Statistics, Quantitative Techniques and some basic knowledge on Programming languages like R, Python, SQL, Scala, etc.

Scope of Data Analytics

                        The amount of data that is created each day through the world network is enormous. With the huge amount of data that is being generated throughout the world, which is termed as ‘BIG DATA’, the field of Data Analytics has grown to include wide scope. New age technologies like Artificial Intelligence, Machine-learning, etc. are to a great extent dependent upon the results obtained through Data Analysis. For example, in the creation of a humanoid (robot like humans), it is the role played by data analytics, used in the artificial intelligence, that predicts the response to be delivered by the robot to a particular stimulus. The various decisions made in the management of different projects depends upon the past or previously available data. This data is implemented to produce useful meaning or solution to the problems. Thus it is evident that Data Analytics has wide scope almost all domains or industries.

Subjects based on which Data Analytics relies

                        The role of Data science has expanded to a huge scale today. Data collection is the initial process in Data Analytics. This is primarily the role of Data Scientists who identify and gather information relevant to their application and then work with IT professionals or data engineers to combine and use the data. This data is transformed into a common format to be fed into analytics systems such as Data warehouses, Hadoop cluster, NoSQL database, etc. After this, certain programming languages are used to design an analytical model. Thus we see that the field of Data Analytics basically involves the knowledge and application of the following subjects and skills–

Mathematics – especially probability and data projection

Basic Statistics

Programming languages such as R, Python, SQL, etc.

Financial statements

Data gathering skills

Types of Data Analytics courses and Applications

                        The two basic domains of Data analytics can be categorised as Exploratory Data Analysis (EDA) and Confirmatory Data Analysis (CDA). EDA deals with determining the data patterns, trends and relationships in the available data collection. Its aim is to perform a detective work. CDA on the other hand deals with deriving interpretation or checking if the validity of a hypothesis holds or not.

                        Another classification of Data Analysis could be based on Quantitative or Qualitative techniques used in the analysis. Quantitative technique involves more of statistical solutions and data, whereas Qualitative technique includes more of interpretative solutions even based on non-statistical data like images and videos, etc.

                        Apart from the above, Data Analytics is studied as part of Management subject called as Business Analytics. Business Analytics involves the usage of the basic analytical principles and tools to derive and predict the best decisions to be taken in business. The role of BA is another predominant role of the century aspired by the youngsters in the world.

Benefits of Studying Data Analytics abroad

                        The number of Indian students studying in the US, especially in the field of Science and Engineering has declined to some extent as a consequence of the Visa-tightening norms by the Trump-administration. American universities find it difficult to include diversity in their classroom programs. The ‘USA Today’ report declared a 6 percent decrease in the international graduates in 2016-17. With this on one hand, and the growing demand for the role of Data related job-roles on the other, there is a dearth for students graduating from these degrees. Hence taking up courses in Analytics still holds a great deal of opportunities for the aspiring students. Hence though Big-Data analytics is still a demanding job profile, there is still a gap in the availability of the suitable workforce skilled in the stream. It is mostly the post-graduate programs such as degrees or certificate programs that are more popular and in higher demand among the students wishing a career in the field.

Having said this, one of the major hindrance or drawbacks to the course on Data Analytics could be the high cost of doing the course abroad. But taking up short-term specialization courses like Certifications could help the students looking for the study abroad. Moreover, considering the ROI of the program, it is a positive outlook that the study provides.

Top Universities and courses in Data Analytics (by ranking)

 

University of Oxford - Social Data Science MSc - Full time - 10 months programs

 

Imperial College London - Health Data Analytics and Machine Learning MSc -

Full Time- 1 year

 

UCL (University College London) - Energy Systems and Data Analytics MSc - Full Time - 1 year

 

UCL (University College London) –

 

Spatial Data Science and Visualisation MRes - Full Time - 1 year

 

Spatial Data Science and Visualisation MSc Full Time - 1 year

 

Spatio-temporal Analytics and Big Data Mining MSc - Full Time - 1 year

 

Web Science and Big Data Analytics MRes - Full Time - 1 year

 

Web Science and Big Data Analytics MSc - Full Time - 1 year

 

University of Michigan - Ann Arbor - Bachelor of Arts or Bachelor of Science in Data Science - Full Time

 

Carnegie Mellon University - Master of Science in Public Policy and Management - Data Analytics Track - Full Time - 2 years

 

London School of Economics and Political Science, University of London - Data Science MSc - Full Time - 12 months

 

University of Edinburgh –

 

Advanced Design Informatics MSc

 

Data Science MSc

 

Data Science, Technology and Innovation (Online Learning) MSc

 

Data Science, Technology and Innovation (Online Learning) PgCert

 

Data Science, Technology and Innovation (Online Learning) PgDip

 

Data Science, Technology and Innovation (Online Learning)

 

Professional Development Diploma

 

Design Informatics MSc

 

High Performance Computing with Data Science MSc

 

Operational Research with Data Science MSc

 

Statistics with Data Science MSc

 

New York University - BS in Applied Data Analytics and Visualization - Full Time course with 1230 credits

 

King's College London, University of London – Data Science MSc - Full Time - 1 year

 

The University of Hong Kong – Bachelor of Science in Decision Analytics -Full Time - 4 years

 

The Australian National University –

 

Bachelor of Applied Data Analytics - Full Time - 3 years

 

Bachelor of Applied Data Analytics (Honours) - Full Time - 1 year

 

Graduate Diploma of Applied Data Analytics - Full Time - 1 year

 

Master of Applied Data Analytics - Full Time - 1.5 year

 

Washington University In St Louis - MS in Data Analytics and Statistics Full Time 30 units

 

Job Prospects and Future Opportunities

As discussed before, we come to understand the various demanding job prospects in the field of Data Analytics. According to recent reports, Big-Data is growing at a very high speed, with nearly 2.3 trillion GB of data produced every day, and the data galaxy doubling every couple of years. With such a huge generation of data, there is huge demand for people skilled in the Data Analytics field to analyse and process data to produce the desired results in any field. There are a plethora of opportunities and job roles offered by doing courses in Data Analytics. Some of them are as follows –

Statistician role of Data Scientist

Mathematician role of Data Scientist

Data Scientists

Data Engineers (More of technical profile)

Machine learning scientist

Actuarial Scientist – in the field of Finance

Business analyst (Managerial role)

Software Programming Analysts

Spatial Data Scientist

Digital Analytic Consultant

Quality Analyst

According to the US Bureau of Labor Statistics, recent reports also convey that there will be a job growth by 4.4 million in the Big Data field by 2024. This is aided by the evident skill-gap in the field. A report in 2014 showed that 41 percent of businesses faced major challenge of integrating big data into their operations due to the lack of skilled candidates.

Study Abroad Expert & Co-Founder @ AdmitKard

Rachit believes in the power of education and has studied from the top institutes of IIIT Allahabad, IIM Calcutta, and Francois Rabelias in France. He has worked as Software Developer with Microsoft and Adobe. Post his MBA, he worked with the world's # 1 consulting firm, The Boston Consulting Group across multiple geographies US, South-East Asia and Europe.