Maths Spl

There are jobs available in various other sectors for the graduates of B.Sc Mathematics. These sectors are given below
•Software
•Insurance
•Market research
•Banking sector
There are also jobs available for these graduates in government sector. Various exams are conducted by UPSC every year for recruiting these graduates to several posts. Some of those exams are given below
•Tax Assistant exam
•Statistical Investigator exam
•Grade III & Compiler Exam
•Combined Graduate Level Exam
Most popular career option after B.Sc Mathematics is teaching. There are plenty of colleges available in India which provides various courses in Mathematics.

As per your interest, you can go for study in artificial intelligence (AI) systems. It's a part of computer Science stream and somehow correlated with digital electronics. Not full but few math concepts are used in the AI logics which u can done easily. Artificial intelligence (AI) is the intelligence exhibited by machines. In computer Science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal. AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer Science, mathematics, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology.
Today AI techniques have become an essential part of the technology industry, providing the heavy lifting for many of the most challenging problems in computer Science.

As per your interest, you can go for study in artificial intelligence (AI) systems. It's a part of computer Science stream and somehow correlated with digital electronics. Not full but few math concepts are used in the AI logics which u can done easily. Artificial intelligence (AI) is the intelligence exhibited by machines. In computer Science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal. AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer Science, mathematics, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology.
Today AI techniques have become an essential part of the technology industry, providing the heavy lifting for many of the most challenging problems in computer Science.