BSc Statistics – A Satisfying yet Rewarding Course
BSc Statistics is a discipline that focuses on gathering, organizing, analyzing, interpreting, and presenting data. It is a sub-set of mathematics which offers specialization in statistics and excellent job opportunities in the government and private sector. What is BSc Statistics? BSc Statistics is a three years degree program.
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BSc Statistics is a discipline that focuses on gathering, organizing, analyzing, interpreting, and presenting data. It is a sub-set of mathematics which offers specialization in statistics and excellent job opportunities in the government and private sector.
What is BSc Statistics?
BSc Statistics is a three years degree program. This course aims to teach statistical probability and the interpretation of mathematical data. As a result, this course’s curriculum thoroughly examines probability and statistical methods, survey sampling, and numerical analysis. Although it is a full-time program, students can acquire a BSc in statistics through remote learning.
BSc Statistics Eligibility Criteria
Eligibility criteria for BSc statistics are below:-
- Qualifying exam i.e. 12th or equivalent diploma course from any recognized board
- Candidates must have to hold at least 50% of the qualifying exam
- Mathematics must be the main subject in the qualifying exam.
Many colleges and universities in India those conduct entrance exams for admission to this course. Some of such institutes and their tests are given below:-
- Banaras Hindu University- BHUET
- Indian Institute of Science Education & Research- IISER-ET
- Gandhi Institute of Technology – GSAT
- Central University Entrance Test- CUET
Subjects in BSc Statistics
The BSc in Statistics is a three years degree program of 24 papers. However, the curriculum is categorized into six semesters.
| 1st Semester | 2nd Semester | 3rd Semester | 4th Semester | 5th Semester | 6th Semester |
| Demoivre’s theorem | Differential calculus | Statistical Method | Index number | Sample surveys | Numerical analysis |
| Equations theories, fundamental theorem of algebra and its consequences | Review of Differential equations | The Measure of location (or tendency) and dispersion | Demand analysis | Basic sampling methods | Inverse interpolation |
| Inequalities | Review of integration and definite integrals | Probability theory | Utility and production functions | Stratified random sampling | Numerical integration |
| Random Variables | Mathematical Finance | Fundamental theorem of algebra and its consequences | General Liner Models | ||
| The expectation of random variables and their properties | Time Series |
BSc Statistics syllabus
Although the course may vary from college to college, the BSc Statistics course details majorly include the following subjects in the curriculum-
| Subjects | Topic |
| Algebra | Vectors, Matrices, Equitation systems, Eigenvalues, linear independence, spans, orthogonally, |
| Calculus | Functions, limits, Derivatives, exponents, logarithms, differentiation, integration |
| Proof and Problem-solving. | Mathematical analysis, proofreading techniques, hands-on different types of problem |
| Probability Analysis | Sample spaces, independence, continuous probability, distributions |
| Abstract mathematics | Linear transformation, theorem of intermediate value, extreme value, inverse function |
| Data Science | Data analysis, visualization, regression, predictive modelling, interpretation |
| Sample Survey | Sample survey, Basic sampling method, stratified random sampling, |
| Applied Statistics | Index number, Demand Analysis, Utility and production functions, mathematical finance, time series, statistical quality control, sampling inspection plan, Indian official Statistics, Visual statistics, demography, educational and psychological statistics |
| C language | History and features of C language, control statement, String function use, Storage class, files |
| Statistical inference | Estimation, interval estimation, testing hypothesis |
| Linear Model | General linear model, analysis of variance, straight line relationship between two variables |
| Stochastic processes | Definition, classification and illustration of stochastic processes, Markov chain definition, Poisson process |
| Eco metrics | The objective behind eco metric models, general linear model, autocorrelation, forecasting |
| Bio-Statistics | The function of survival time, progressive, random censoring, risk theory, stochastic epidemic models, planning and design of clinical trials. |
The following are the year-by-year subjects list of BSc in statistics:-
| Year | Subjects |
| First-year | Micro and Macro EconomicsStatistical TheoryFinancial AccountingAdvanced MathematicsIntroduction to Programming |
| Second-Year | Probability and distributionRegression modellingScientific computingData collectionElectives |
| Final-year | Statistical inferenceStochastic processesApplied & Computational MathematicsElectivesProject and training |
Specialization in BSc Statistics
There are various specialization courses in BSc in Statistics. However, an aspirant for a degree in statistics can be admitted to the following courses:-
Decision Analytics
This course is structured around the foundations of contemporary data analytics. However, this course offers an insightful analysis of facts to deal with complex situations and decision-making. The course covers theoretical as well as applied modern statistics.
Data Science
This degree gives instruction and hands-on experience in modelling, analyzing, and interpreting real data needed in the economy, business, and research. It also covers the theoretical and applied aspects of contemporary statistics. The first two years of the degree program address fundamental statistics, probability, and mathematics.
Statistics and Applied Mathematics
This course is designed based on mathematics and reasoning to solve a real-world problem of a scientific or decision-making nature. It supports students in becoming self-sufficient scholars ready for successful careers in academia, business, and research.
Quantitative Finance
Quantitative finance is an approach that uses computer programming to apply the fields of mathematics, statistics, scientific computing, and finance to financial trading and investing operations. However, the course provides the opportunity to become a quantitative analyst.
Bioinformatics
A bachelor’s degree program in bioinformatics, or the science of gathering and analyzing complex biological data, such as genetic codes, is available. It is an area where organism biology, molecular biology, and biomedicine employ the interface between biology, computation, and statistics.
Computational Biology
The study of biology covers a wide range of medical topics, including the anatomy of the human body, cellular processes, and the treatment of diseases. Computational Biology is concerned with resolving complicated biological and biomedical problems using mathematical and computational techniques.
Financial Mathematics
BSc in financial mathematics is an honours degree program that allows working in banking and commerce. This course builds mathematical abilities; concerning this, the curriculum covers applying mathematical principles to financial problems.
Statistical Biology
Biostatics is a discipline that builds the ability to use statistics in biology. BSc in Statistical Biology is a three years honours degree program in this regard. However, the curriculum of this course covers a wide range of statistical as well as mathematical methods and their application in biology.
Scope of BSc Statistics
The BSc Statistics scope is vast and provides various job opportunities in the government and private sectors. However, there are many job opportunities are extensively in trend:-
Statistician
A statistician is a person who is in charge of using theoretical or applied statistics to provide the best results. High responsibility and constant demand characterize this position in the public and private sectors. To address real-world problems, statisticians employ statistical models and approaches. They collect data, analyse it, and interpret it to aid several commercial decision-making processes. Many industries, including business, health care, government, the physical sciences, and environmental sciences, require statisticians as employees.
Market Research Analyst
A marketing analyst is an expert who analyses data supporting a business’s marketing. This expert plays a vital role in decision-making for organizational betterment, such as boosting sales or streamlining marketing initiatives with the information they discover.
Technical Writer
There is an opportunity for a candidate to become a technical content writer after having statistics in degree. Every government agency, as well as the business sector, needs writers who are skilled at both creative writing and data analysis presentation. A degree in statistics plays a key role in it.
Consultant
A candidate can also become a data consultant after a bachelor’s of statistics and can play a vital role in decision-making for organization/s. The knowledge of statistics plays a vital role for a consultant to perform surveys and concludes the sampled data using various statistical methods.
Biostatistician
There is an opportunity for a bachelor in statistics to join the healthcare sector as a biostatistician. The job responsibility of a biostatistician is to conduct studies, create plans, analyze outcomes, and collaborate with a group of scientists and researchers.
Content Analyst
Data from print media, web content, translations, product descriptions, and advertising copy are all evaluated and interpreted by content analysts. A content analyst analyses the trend and suggests the themes and tone of the article to release.
Research Associate
A researcher who conducts research is typically a research associate. The researcher associated with the research department of any organisation, including the government, analyses the data and contributes creative ideas for the advancement of the organisation. In addition to being essential to research, statistics offers the chance to work as a research associate and earn a sizable salary.
Data Analyst
BSc statistics opens a wide range of career opportunities, and data analysis is of them. Data analysts play a crucial function for an organization and advise management and stakeholders. A data analyst’s primary responsibility is to study the data and identify the vital information that could be useful to the organization.
Financial Analyst
Usually, financial analysts work in banks and financial institutions and finance department. They advise companies, the government and people on how to spend money to make a profit. They evaluate the performance of bonds, equities, and other financial products.
Analyst Broking
The stock market is one of the best opportunities for statistics graduates to make a career in this stream. There are various stock trading companies searching for the best analyst who can analyze the data very well and provide the best facts for clients and company’s betterment.
Accountant
Every industry’s account department is founded on data. Additionally, statistics play a challenging role in this field. So, after earning a degree in statistics, a candidate can also work as an accountant.
Higher studies after BSc Statistics
Even though a candidate can have a successful career after earning a BSc in statistics, if they wish to continue their studies, there are also chances for graduate study. Below mentions are the details of higher studies after BSc Statistics:-
MSc Statistics
It is two years master’s degree program. A candidate willing to pursue higher studies after BSc in statistics can be admitted to this post-graduate degree program in Statistics. MSc Statistics facilitates scholars to get in-depth knowledge of the subject and enhances data analytical skills. A candidate must have possessed 55% in his graduation to take admission to this course.
MSc Actuarial science
The MSc in Actuarial Science is a two years master’s degree course. It is a multidisciplinary curriculum that uses qualitative and quantitative (mathematical and statistical) methodologies to assess and analyze various risks in both financial and non-financial sectors, such as the banking and insurance industries. A graduate of statistics can also pursue his higher studies through this course. Admission to this course, however, has certain eligibility criteria to fulfil first.
MBA
A Master in Business Administration is a two-year degree program, and a bachelor of statistics can also pursue his higher education with this professional course. Since MBA is one-kind of professional degree hence candidate has to choose one discipline like finance, marketing, data science etc. Even though there are many top MBA colleges in India, IIM is the top, which takes admission through CAT only. So to pursue an MBA candidate has to qualify for the entrance exam along with graduation.
Master in Statistics
A Master’s in applied statistics is one of the tremendous courses after a BSc in statistics. It is a two years degree program that develops mathematical and analytical skills to interpret the data and conclude the best result.
PGDBM course
It is a two years post-graduate diploma course considered equivalent to a master‘s degree program. A statistics graduate can pursue a PGDBM instead of an MSc or MBA. This course is ideally less expensive; meanwhile, pursuant can earn by working in any organization.
The way to pursue a career with BSc in Statistics
BSc statistics is a three years degree course that opens a wide range of job and business opportunities such as data analysts, statistical officers and many others. Content analysis is an exciting option to optimise the demand for statistical knowledge and trending content types among various job opportunities. Apart from this, anyone can also become a Subject Expert in Statistics at Chegg India and earn a good side income by just simply registering for either Q&A or TBS opportunities to become a Chegg expert.
Frequently Asked Questions
Q.1 Which is better, BSc Math or BSc Statistics?
Ans. There are significant differences between BSc statistics and BSc mathematics though both have various similarities. This difference is in the way of implication. In contrast to BSc Mathematics, which is more of a theory-based course emphasizing proof writing, BSc in Statistics is more of an application-based, real-world problem-solving subject. The research-based BSc Statistics opens new opportunities and excellent choices for data science.
Q.2 Is BSc in statistics easy or difficult?
Ans. A branch of mathematics that solely relies on formulas is statistics. Since the subject is application-based, problem-solving is simple after identifying the issue with the proper strategy and using the necessary methods to resolve it. As a result, BSc in Statistics has become easier for all students.
Q.3. What are the jobs after BSc in statistics?
Ans. A student after BSc in statistics can pursue civil services, Indian statistical and Indian economic services exams. Other Jobs for BSc statistics are as mentioned here:-
- Statistician
- Business Analyst
- Mathematician
- Professor & Trainer
- Risk Analyst
- Data Analyst
- Content Analyst
Q.4 Who can take BSc statistics?
Ans. The three-year BSc statistics program includes mathematics as a required subject in the 12th grade. Therefore, a candidate from the science stream (physic chemistry math) or commerce with math in 12th grade can be admitted to BSc in Statistics.
Q.5 Are BSc math and BSc statistics the same?
Ans. BSc math and BSc statistics are the same though both have the extent of similarities. Statistics is the part of mathematics which is a completely formula-based problem-solving application. But math is extremely vast not only in study but also in a career opportunity.
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