M.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 

at Vathsalya Group of Institutions, Telangana - Other

Most of the IT examinations which are conducted for courses such as BCA have similar syllabus and consists of the following subjects such as:

• Quantitative Techniques: The questions on this topic comes from topics such as Geometry, Average, Profit and Loss, Quadratic Equation, Trigonometry etc.
• Analytical and Logical Reasoning: This unit consists of topics such as Codes, Statements and conclusions, Blood Relations and Series etc.
• General Awareness and Computer Fundamentals: It consists questions from general knowledge and tests candidates existing knowledge on the topics studied in Senior Secondary level in Computer Science

The fee bracket for programs offerred by the Vathsalya Group of Institutions is approximately INR 44700 - INR 248000.

The seats availability for offered courses at Vathsalya Group of Institutions goes up to 1773. Courses offerred by Vathsalya Group of Institutions are approved by eminent Government bodies such as PCI, AICTE.

Vathsalya Group of Institutions is a well-known institution for M.Pharma, MBA/PGDM, M.E./M.Tech, MCA, After 10th Diploma, B.E. / B.Tech courses, and these programs are delivered by highly experienced faculty. Vathsalya Group of Institutions has course specializations in Pharmaceutical, Computer Science Engineering, Construction Engineering, Power Engineering, Structural Engineering, VLSI Design, Artificial Intelligence & Machine Learning, Civil Engineering, Electrical Engineering, Mechanical Engineering, Electronics & Communication Engineering, Mining Engineering, Information Technology.

Vathsalya Group of Institutions provides programmes including M.Pharma, MBA/PGDM, M.E./M.Tech, MCA, After 10th Diploma, B.E. / B.Tech in streams such as Medicine & Health Sciences, Business & Management Studies, Engineering, IT & Software, and are excellent for students to build their careers. The institute has specializations in Pharmaceutical, Computer Science Engineering, Construction Engineering, Power Engineering, Structural Engineering, VLSI Design, Artificial Intelligence & Machine Learning, Civil Engineering, Electrical Engineering, Mechanical Engineering, Electronics & Communication Engineering, Mining Engineering, Information Technology.