CO’s and CO – PO Mapping

PO

  • Advanced understanding of statistical theory and methods applicable to biological and health-related research.
  • Proficiency in designing experiments and observational studies in biomedical research, including sample size determination and study protocol development.
  • Mastery of both descriptive and inferential statistical techniques for analyzing complex biomedical datasets.
  • Application of Biostatistical methods to address research questions in epidemiology, clinical trials, genetics, and other areas of biomedicine.
  • Ability to critically evaluate published research studies in biomedicine from a statistical perspective.
  • Competence in using statistical software packages such as R, SAS, or Python for data analysis and visualization in biomedical research.
  • Knowledge of specialized topics in biostatistics, such as survival analysis, longitudinal data analysis, and Bayesian methods.
  • Effective communication of statistical findings and interpretations to interdisciplinary teams, clinicians, policymakers, and the broader scientific community.
PROGRAMME SPECIFIC OUTCOMES (2019 onwards)
Name of the Programme Specialization PSO1 Students will able to understand health and

epidemiological issues
M.Sc. Biostatistics Epidemiology, Clinical Trials, and Bioinformatics PSO2 Able to identify factors affecting health problems
PSO3 Able to study about incidence of diseases and causes
PSO4 Able to plan, design and conduct clinical trials
PSO5 Able to assess the efficiency of medicines
PSO6 Able to conduct testing as well as estimation
PSO7 Able to analyze, visualize, comprehension and interpret data
PSO8 Able to determine sample size and clinical data management
PSO9 Get expertise in computational Biology
COURSE OUTCOMES (2019 onwards)
Semester: I
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020101 Statistical Methods and Probability Distributions CO1 Able to summarize, visualize and analyze data
CO2 Able to compute probabilities
CO3 Able to develop new probability models and test the goodness of fit
CO4 Able to represent the data using

graphs and diagrams
CO5 Able to study the relationship

between variables
COURSE OUTCOMES (2019 onwards)
Semester: I
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020102 Theory and Methods of Sample Surveys CO1 Able to conduct sample surveys using various sampling techniques
CO2 Able to determine sample size and plan Statistical studies
CO3 Able to estimate population total, mean and variance
CO4 Able to apply systematic and stratified sampling technique
CO5 Able to obtain ratio and regression estimates
COURSE OUTCOMES (2019 onwards)
Semester: I
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020103 Statistical Programming in R and Python CO1 Able to write computer programs using R and Python
CO2  Able to generate samples from

different populations using R and

Python
CO3 Able to draw graphs and diagrams

using R and Python
CO4 Exposed to logical thinking and

analysis
CO5 Able to solve problems and make optimum decisions
COURSE OUTCOMES (2019 onwards)
Semester: I
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020104 Statistical Genetics and Ecology CO1  Able to understand basics of statistical genetics and ecology
CO2  Become aware of environment, biodiversity and ecological issues
CO3  Able to study about population growth and develop models
CO4 Able to quantitative analysis of biodiversity and abundance
CO5  Able to estimate linkage between hereditary factors and test them
COURSE OUTCOMES (2019 onwards)
Semester: I
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020105 Statistical Data Analysis using Microsoft Excel, R and Python CO1 Become experts in Excel, R and Python for data analysis and interpretation
CO2 Able to test goodness of fit
CO3 Able to represent data using graphs and diagrams
CO4 Able to estimate sample size, sample mean and its variance
CO5 Able to develop programs and solve programs
COURSE OUTCOMES (2019 onwards)
Semester: II
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020201  Matrix Algebra and Regression Analysis CO1  Able to find the correlation between variables
CO2 Able to develop regression equation for prediction
CO3 Able to understand and conduct Poison and logistic regression
CO4 Able to understand bioassays and estimation of safe doses
CO5 Able to understand non-linear and non-parametric regression
COURSE OUTCOMES (2019 onwards)
Semester: II
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020202 Sampling Distributions and Statistical Estimation Methods CO1  Able to understand different estimation methods and estimate the parameters
CO2  Able to study about performance of estimators
CO3  Able to develop estimators having minimum variance, maximum  likelihood etc.
CO4  Able to develop Confidence intervals
CO5  Able to apply the techniques to data from various application fields
COURSE OUTCOMES (2019 onwards)
Semester: II
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020203 Parametric and Non-parametric Tests CO1  Able to develop hypothesis and understand P-value
CO2  Able to test hypotheses regarding mean and various
CO3  Able to understand different techniques in parametric testing
CO4  Able to apply SPSS for testing
CO5 Able to understand different techniques in non-parametric testing
COURSE OUTCOMES (2019 onwards)
Semester: II
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020204 Epidemiology and Study Designs CO1 Able to study and plan different epidemiological studies
CO2 Able to measure disease frequency

using different measures
CO3 Able to find incidence rate, Odds ratio
CO4 Able to develop the confidence Interval
CO5 Able to plan a Epidemiological Study
COURSE OUTCOMES (2019 onwards)
Semester: II
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020205 Statistical Data Analysis Using SPSS, R and Python CO1 Able to understand different techniques in parametric testing using SPSS
CO2 Able to understand different techniques in non-parametric testing using SPSS
CO3 Able to estimate the parameters by

using different methods
CO4  Able to find the correlation between variables using SPSS
CO5  Able to develop regression equation for prediction using SPSS
COURSE OUTCOMES (2019 onwards)
Semester: III
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020301 Design and Analysis of Experiments CO1  Able to understand different design of experiments
CO2  Able to do the analysis of different designs using SPSS and SAS
CO3  Able to understand the efficiency of drugs from different designs
CO4  Able to apply missing plot techniques
CO5  Able to understand Analysis of

Variance and Analysis of Covariance
COURSE OUTCOMES (2019 onwards)
Semester: III
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020302 Stochastic Models and Time Series Analysis CO1  Able to understand basics concepts on Stochastic process and modeling
CO2  Able to understand birth/death process and their special cases
CO3  Able to analyze time series data and fit with appropriate models
CO4  Able to predict future values
CO5  Able to develop population models

and find probability of extinction
COURSE OUTCOMES (2019 onwards)
Semester: III
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020303 Applied Multivariate Analysis CO1  Able to understand multivariate data analysis
CO2  Able to understand applications in tests on mean vector for one and more multivariate normal populations
CO3  Able to understand applications in equality of mean vector in a multivariate normal population
CO4  Able to understand random sampling from a multivariate normal distribution
CO5  Able to understand the classification

and discrimination procedure for discrimination between two multivariate normal populations
COURSE OUTCOMES (2019 onwards)
Semester: III
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST02 0304 Advanced Epidemiology and Bioassays CO1 Able to understand bioassays and estimation of safe doses
CO2  Able to analyze different types of data like categorical, grouped and matched data
CO3  Able to determine the sample size and power calculation for different epidemiological studies
CO4  Able to plan different epidemiological studies
CO5  Able to analyze data from different epidemiological studies and interpret

the data
COURSE OUTCOMES (2019 onwards)
Semester: III
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020305 Statistical Data Management using Python, ADVANCED R and SPSS CO1  Able to apply multivariate data analysis using SPSS and R programming
CO2  Able to determine the drug effects from different designs by using SPSS
CO3  Able to estimate missing values from different designs
CO4  Able to Able to determine the sample size and power calculation for different epidemiological studies
CO5 Able to analyze time series data and fit with appropriate models
COURSE OUTCOMES (2019 onwards)
Semester: IV
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020401 SAS Programming, Bayesian Inference and MCMC Methods CO1  Able to write programs on SAS programming and Able to apply statistical methods by SAS program
CO2 Able to simulate samples from different populations
CO3  Able to visualize data by graphs and diagrams using SAS program
CO4  Able to understand the concepts of Bayesian Inference
CO5  Able to understand the concepts of simulation techniques
COURSE OUTCOMES (2019 onwards)
Semester: IV
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST020402 Survival Analysis and Lifetime Modeling CO1  Able to distinguish the lifetime distributions
CO2  Able to identify the prognostic factors and estimate the survival of diseased persons
CO3 Able to analyze the patterns of life events
CO4 Able to compare the distributions of survival times in different groups of individuals
CO5 Able to examine, how much the factors affect the risk of an event of interest
COURSE OUTCOMES (2019 onwards)
Semester: IV
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST02E4.1.1 Clinical Trials and Bioinformatics CO1  Able to plan a clinical trial
CO2  Able to understand drug development process
CO3  Able to analyze continuous, categorical, binary datas
CO4  Able to writing protocol, statistical analysis plan and clinical study report
CO5 Able to determine the sample size for

the clinical trial and able to understand the handling of missing data and multiplicity
CO6 Able to understand the sequence alignment, algorithm and tools
CO7 Able to understand the basics of bioinformatics and biological data analysis
COURSE OUTCOMES (2019 onwards)
Semester: IV
Name of the Programme with Specialization Course Code Course Title Course Outcomes
M.Sc Biostatistics ST02E4.1.3 Statistical Computing and Data Analysis

Using Python, R & SAS

 CO1 Able to solve the linear programming problems, transportation problems and assignment problems
CO2 Able to visualize data by graphs and diagrams using R program
CO3 Able to apply statistical methods by R program and Able to simulate samples from different populations
CO4 Able to apply survival data analysis techniques
CO5 Able to understand the computational Biology
Department Of Biostatistics