Statistical Methods: It includes strategies which are utilized as a part of biostatistics and computing. It incorporates points such as vigorous techniques in biostatistics, longitudinal studies, analysis with deficient data, meta-analysis, Monte-Carlo strategies, quantitative issues in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical routines in epidemiology.

Bayesian statistics: It is a subset of the sphere of statistics during which the proof about the concerning verity of the world is expressed in terms of degrees of belief or, ma lot specifically, Bayesian probabilities. It includes of varies approaches like Bayesian inference, stochastic structural improvement and Bayesian statistics, semi-parametric Bayesian analysis, Bayesian multiple modification point analysis, infrared spectroscopic analysis with Bayesian statistics and Bayesian dynamic models.

Regression Analysis: In statistics study, regression analysis has been statistical process for estimating the relationships among variables. It includes several techniques for modelling and analysing many variables, once the main focus is on the link between a dependent variable and one or a lot of freelance variables. This track contains numerous sub topics like linear and non-linear analysis, variance and regression analysis, statistical methods for categorical data analysis, multiple regression with categorical information and biostatistical analysis software.

Bioinformatics: It’s an interdisciplinary field that develops strategies and software tools for understanding biological statistics. Being an associate field of science, bioinformatics unites statistics, mathematics, computer science, and engineering to check and process biological data, which contains of assorted types of bioinformatics employed in Biostatistics study like translational bioinformatics and structural bioinformatics together with the applications of bioinformatics. It additionally includes computational intelligence techniques still as applications of ranking models and strategies to biometrics and biostatistics.

Computational Systems Biology: Systems biology is the investigation of frameworks of biological components, which might be atoms, molecules, cells, life forms or whole species. Living systems are dynamic and complex and their conduct might be difficult to anticipate from the properties of individual parts. In these days computer science assumes an imperative part in concentrating on the system biology. This track incorporates different themes like biostatistics in systems biology, machine learning and artificial intelligence, information analysis.

Biostatistics is the study of science that deals with the statistical methods for describing and comparing the phenomenon of particular subject which helps in managing medical uncertainties. Its applications are wide spread in medicine, health, biology etc. for interpretation of data based on observations and facts.

Modern data analysis: It incorporates the different civilized systems utilized as a part of the biostatistical data analysis. Different subjects which are being incorporated are data sets, hierarchical models, causal inference, nonparametric alongside the statistical genetics, Mantel–Haenszel test and the biometric ramifications of these data analysis methods.

Biometric security: It incorporates different biometric devices and calculations which are utilized to execute security in today's universe of innovation. Biometrics security incorporates different points like Personal identity verification, Human activity acknowledgment, Legal similarity for biometric systems, Crime counteractive action,, Biometric devices and calculations, Behavioral intelligence, Biometric arrangements, biometric security authentication and multi touch displays in biometrics.

Adaptive biometrics systems: It gives bits of knowledge into how to overcome data security snags introduced by conventional means and the rise of new biometric patterns, progressions, drivers, and opportunities that will shape the biometrics business without bounds. This track contains incorporated biometric identification and surveillance systems, essential segment examination and multilayer discernment, human system interaction, centralized biometric database, canny pupil investigation framework, palm print ID, biometric data delivery, laser imaging and biometrics, developing and future trends of biometrics.

Biometrics Applications: It incorporates different future employments of the biometrics which could be animal biometrics and its applications in pre-clinical research, biometrics of signals, biometric execution reviewing plan, automatic face analysis and programming testing and cloud computing, producers and business opportunities

Cybersecurity which is also known as computer security is the technology designed to protect computer systems containing programs or data from damage or unauthorized access.  This includes preventive measures for cyber terrorism with the help of cyber security with high performance computing.