Program Outcomes (POs) are attributes of the graduates of the program that are indicative of the graduates’ ability and competence to work as science professional upon graduation. Program Outcomes are statements that describe what students are expected to know or be able to do by the time of graduation. They must relate to knowledge and skills that the students acquire from the program. The achievement of all outcomes indicates that the student is well prepared to achieve the program educational objectives down the road.
Science Graduates will be able to:

PO-1: Apply the knowledge of Mathematics, Statistics and Computer Science fundamentals and specialization to solution of complex scientific problems (Scientific Knowledge)

PO-2: Identify, formulate, research literature, and analyze complex scientific problems reaching substantiated conclusions using principles of Data Sciences. (Problem analysis)

PO-3: Design of solutions for complex Data Analytical problems and design of system components or processes that meet the specified needs with appropriate considerations of public health and safety, and cultural, societal, and environmental considerations (Design/development of solutions) societal, and environmental considerations.

PO-4: Use research-based methods including design of experiments, analysis and interpretation of data and Mathematical/Statistical knowledge leading to logical conclusions (Conduct investigations of complex problems)

PO-5: Create, select, and apply appropriate techniques, resources, and modern scientific and IT tools including analysis, prediction and modelling complex scientific activities with an understanding of limitations (Modern tool usage)

PO-6: Apply reasoning within the contextual knowledge to access societal, health, safety, legal, and cultural issues and the con-sequent responsibilities relevant to the professional Mathematical, Statistical and Computer Sciences practice (The Mathematician and society)

PO-7: Understand the impact of the professional Statistical solutions in the societal and environmental contexts, and demonstrate the knowledge of, and the need for sustainable developments (Environment and sustainability)

PO-8: Apply ethical principles and commit to professional ethics and responsibilities and norms of scientific practice (Ethics)

PO-9: Function effectively as an individual independently and as a member or leader in diverse teams, and in multidisciplinary settings (Individual and teamwork)

PO-10: Communicate effectively on complex scientific activities with the science community and with society at large such give and receive clear instructions (Communication)

PO-11: Demonstrate knowledge and understanding of scientific management principles and apply those to one’s own work as a member and leader of a team to manage projects in multidisciplinary environments (Project management and finance)

PO-12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change (Life-long Learning).

Program Specific Objectives (PSOs) are specific statements that describe the professional career accomplishments that the programs designed. The PSOs of the M. Sc. program in Chemistry are designed in such a way that at the end CU has been designed to fully meet all the 12 Program Outcomes. The PSOs of the M. Sc. Program in Data Science are program are as follows:

PSO-1: Data Science graduates will be prepared to contribute effectively in the areas of organic chemistry and able to apply the concept of advance studies for the understanding of underlining principles, proposing mechanism, problem solving, identification of chemical species and arriving to logical conclusion by developing skills in synthesis and characterization of specific organic compounds using documented laboratory procedures.

PSO-2: The graduate will be able to handle the advanced techniques in data sciences and engineering to analyze and design algorithms, solving Mathematical Problems globally related to big data analysis.

PSO-3: Data Science graduates will be able to acquire firm knowledge over various fundamental theories related with Physical and Analytical Chemistry. By using concepts, tools and techniques related to these topics, they can acquire knowledge and utilize its application in interpretation and explanations of the limits, accuracy of experimental data in terms of significance.