Entry Level Qualification 

Graduate

Career Fields 

Mathematics & Science

For Specially Abled 

,

Career Entrance Exam 

CUET UG, CUET PG

About Career 

As a Statistician, you will analyze quantitative data and apply mathematical and statistical techniques to help solve real-world problems in business, engineering, healthcare, or other fields. Using tools of mathematics and statistics, you will extract meaning from data at hand and interpret it for the use of others; you will find the best possible solution to a problem by drawing conclusions from data or predict a trend or forecast occurrence of an event or situation.

You will design and manage research and surveys and may deal with the collection of data. You will complile and collate data. You will prepare data sets for feeding into a statistical software for data analysis. You will build models and algorithm for data analysis. You will interpret data from statistical software and find ways to best present the data visually or otherwise so that other people can draw inferences from the data and build insights.

Other core activities include consulting with clients and understanding what data to collect and how it should be gathered while also taking into account any ethical or legislative considerations; presenting finding at conferences and in journals; advising policymakers on key decisions, among other things.

Key Roles and Responsibilities:

1. Identify relationships and trends in data and the factors that could affect the results of research.

2. Analyze and interpret statistical data to extract meaningful and usable results or information.

3. Adapt statistical methods to solve problems in many fields

4. Develop software applications or programming to use for graphically represent data and developing models and charts for processing large amounts of data.

5. Plan data collection methods for projects and determine the types and sizes of sample groups to be used.

6. Develop and test experimental designs, sampling techniques, and analytical methods.

7. Ensure the validity of statistical methods.

8. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting raw data.

9. Present statistical and no statistical results, using charts, bullets, and graphs,  to clients, peers, and students.

Career Entry Pathway 

Class 10 all subjects as per scheme of studies– Class 11-12 Mathematics along with any other subject as per scheme of studies – UG in Statistics – PG & further study

After Class 11-12 Mathematics along with any other subject as per scheme of studies – and then study for an undergraduate degree in Statistics followed by post-graduation and further study.

Class 10 all subjects as per scheme of studies– Class 11-12 with Mathematics along with any other subject as per scheme of studies – UG in Statistics – PG & further study in statistics

After Class 11-12 with Mathematics along with any other subject as per scheme of studies and then study for an undergraduate degree in Statistics followed by a master’s degree in Statistics.

Class 10 all subjects as per scheme of studies– Class 11-12 with Mathematics along with any other subject as per scheme of studies – UG in Statistics – PG & further study

After your secondary level of schooling, you can study Humanities with Mathematics in your higher secondary school and then study for an undergraduate degree in Statistics followed by a master’s degree and further study in Statistics.

Class 10 all subjects as per scheme of studies– Class 11-12 with Mathematics along with any other subject as per scheme of studies – UG in Mathematics – PG & further study in Statistics

After your secondary level of schooling, you can study Science with Mathematics in your higher secondary school and then study for an undergraduate degree in Maths followed by a master’s degree and further study in Statistics.

Class 10 all subjects as per scheme of studies– Class 11-12 with Mathematics along with any other subject as per scheme of studies – UG in Mathematics – PG & further study in Statistics

After your secondary level of schooling, you can study Commerce/Humanities with Mathematics in your higher secondary school and then study for an undergraduate degree in Maths followed by a master’s degree and further study in Statistics.

Class 10 all subjects as per scheme of studies– Class 11-12 with Mathematics along with any other subject as per scheme of studies – UG B.Tech in Mathematics and Computing – PG & further study in Statistics.

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After your secondary level of schooling, you can study Commerce/Humanities with Mathematics in your higher secondary school and then study for a BTech degree in Maths and Computation followed by a master’s degree and further study in Statistics.

Required Qualification & Competencies 

For Under Graduate

After finishing your junior secondary education with Science and Maths among other subjects, you can opt for Science with Maths/Commerce with Maths/Humanities with Maths in your class 11-12 and then go for an undergraduate degree course in Statistics such as B.Sc. Statistics, B.Stat (Bachelor of Statistics) or similar courses.

For Post Graduate

A Master’s degree program in Statistics allows students to choose an area of specialization, such as Applied Statistics, Data Science, Biostatistics, Mathematical Statistics, Quantitative Economics, etc.

Compentencies Required

Occupational Interests:

1. Conventional:  Conventional occupations frequently involve following set procedures and routines

2. Investigative: Investigative occupations frequently involve working with ideas, and require an extensive amount of thinking

Personality

1. Analytical Thinking

2. Attention to detail

3. Integrity

4. Dependability

5. Independence

Skills

1. Mathematics

2. Critical Thinking

3. Reading Comprehension

4. Active Listening

5. Active Learning

Abilities

1. The ability to choose the right mathematical methods or formulas to solve a problem.

2. The ability to apply general rules to specific problems to produce sensible answers.

3. The ability to combine pieces of information to form general rules or conclusions

4. The ability to add, subtract, multiply, or divide quickly and correctly.

5. The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules.

Career - Job Opportunities & Profiles 

Following are the entry-level job opportunities as a statistician:

1. Research fellow at a University after post-graduation

2. Junior Time Scale (JTS)/ Assistant Director/ Research Officer (Grade IV) after clearing the ISS (Indian Statistical Service) exam, after post-graduation

3. Associate Professor at a University, by clearing NET exam after Master’s degree or as a Ph.D. pursuant/holder

4. Associate Actuary by becoming a member of IAI (Institute Of Actuaries of India) through ACET(Actuarial Common Entrance Test) and clearing 9 CT (Core Technical) papers, after graduation

5. Quality control, Survey Analysis

6. Data Analysis assistant/Junior Data Analyst

7. SAS (Statistical Analysis System) analyst

8. Econometrician, after post-graduation with a specialization in Econometrics

9. Biomedical Statistician

10. Business Analyst/Assistant Manager

11. Junior Data Scientist

12. Demographer

Some organizations where you can get a job (as examples)

1. Deloitte Consulting,

2. TCS Innovations Labs

3. BNP Paribas India

4. Accenture

5. HP

6. GE Capital,

7. HDFC

8. Cognizant

9. RBI

10. HSBC

11. Indian Market Research Bureau

12. CMIE (Centre for Monitoring Indian Economy)

Work Environment

Statisticians working for government agencies and private firms have structured work schedules. They may work alone writing reports, preparing statistical charts, and using computers and calculators. Or they may be an integral part of a research team. Most work under pressure of deadlines and tight schedules, and sometimes must work overtime. Their routine may be interrupted by special requests for data, letters, meetings, or conferences. Travel may be necessary to collect data or attend conferences.

Specialisation Tracks In This Career

Bioinformatics

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data

Industrial Statistic

Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality involves an overall approach to the management of industrial processes that transcends the use of these specific tools.

Buisness Statistics

Business statistics is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis, econometrics, auditing, production and operations including services improvement and marketing research

Medical Statistics

Medical statistics deals with applications of statistics to medicine and the health sciences, including epidemiology, public health, forensic medicine, and clinical research.

Econometrics

The branch of economics concerned with the use of mathematical methods (especially statistics) in describing economic systems.

Applied Statistics

Course designed for senior undergraduate and research students who need to design experiments and carry out statistical analysis of their data.

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

Career Growth

Growth opportunities are abundant and ever-rising as a Statistician. Entry level jobs depend on your educational qualification, where some entry-level jobs stated earlier are only available after a Master’s degree or Ph.D., such as the post of an Assistant Professor, Junior Research Fellow or Junior Time Scale officer. Other entry-level jobs include Assistant Actuary, Junior Data Scientist, Business Analyst, Data Analyst etc.

Mid-level Jobs such as those of Lead Business Analysts, Actuarial Manager, Junior Administrative Grade officers, Associate professors, Data Science Manager etc can be attained with 4-8 years of experience and high paying senior jobs such as Professor, Senior Administrative Grade Officer Senior Actuary, Senior Business Analyst, Senior Data Scientist, & Senior Consultants etc can be attained with more than 9 years of experience.​​​​​​​

Salary Offered  

The salary of professionals in the field of Statistician varies according to the job profiles, and subject to your personal skill and qualification. The annual salary range increases as you rise up from entry-level jobs to mid-level to senior level roles.

Following are certain examples:

1. Research Fellow: 25,000 to 60000 per month.

2. Assistant Professor (after Ph.D.): Rs. 60-80,000 a month

3. Associate Professor (must have a Ph.D.): Rs. 1,00,000-170,000 a month

4. Professor: Rs. 1, 70,000-2, 40,000 a month.

5. Junior time scale officer to Junior Administrative Grade officer in Indian Statistical Services - Rs 56,100- Rs 67,700 per month

6. Senior Administrative Grade to Higher Administrative Grade in Indian Statistical Services -78,800 to 2,25,000 per month

7. Actuary- Rs 35,000 to Rs 5,00,000 per month

8. Data Analyst- Rs 30,000 to 2,50,000 per month

9. Data Scientists- Rs 40,000 to 5,00,000 per month

10. SAS Programmer- Rs 37,000 to 4,50,000 per month

11. Business Analyst- Rs. 50,000 to 4,00,000 per month

Monthly Earnings In Indian Rupee

1. Entry level: 0 - 2 years of work experience 

2. Junior Level: From 1 to 12 years of work experience 

3. Mid-Level: From 5 to 20+ years of work experience 

4. Senior Level: From 10 to 25+ years of work experience (there could be exceptions in some high-end technical, financial, engineering, creative, management, sports, and other careers; also in the near future, people will reach these levels much faster in many careers and in some careers, these levels will have no meaning as those careers will be completely tech skill driven such as even now, there is almost no level in a Cyber Security Expert’s job)

Famous Personalities 

Information not available.

Work Activities 

1. Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.

2. Using computers and computer systems to program, write software, set up functions, enter data, or process information.

3. Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data.

4. Providing information to supervisors, co-workers, and subordinates by phone/mail, presentations or flowcharts.

5. Translating or explaining what information means and how it can be used.

6. Analyzing information and evaluating results to choose the best solution.

7. Keeping technically up-to-date and applying new knowledge to your job.

8. Developing, designing, or creating new applications, ideas, relationships, systems, or products, including artistic contributions.

9. Transcribing, recording, storing, or maintaining information.

10. Communicating with people outside the organization, representing the organization to external sources.

11. Developing specific goals and plans to prioritize, organize, and accomplish your work.

12. Identifying information by categorizing, estimating, recognizing differences or similarities, and detecting changes in circumstances.