Computer Science and Engineering (Data Science)

B.Tech -60

Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more. This course is designed to meet the increasing demand for professionals who can manage both Business and Data Science aspects by analysing data and extracting valuable insights for decision making.

The subject of Data Science encompasses important disciplines like Statistics, Mathematics, and Programming. Artificial intelligence and machine learning technologies including deep learning, reinforcement learning, neural networks, etc. are the pillars of data science. They apply this knowledge to uncover solutions hidden in the data to take on business challenges and goals.

CSE(DS) Faculty Profile

SNO	Name	Designation	Qualification	Experience
1	UGGAM SUKANYA	Assistant Professor	M.Tech	4
2	K V V S SANTHOSH REDDY	Assistant Professor	M.Tech	2
3	T NANDINI	Assistant Professor	M.Tech	2
4	M VENKATA NARASAIAH	Assistant Professor	M.Tech	4
5	KAKUMANU NARESH	Assistant Professor	M.Tech	7
6	DR KATAKAM VENKATESWARA RAO	Professor	Ph.D	23
7	VENKATA LAKSHMI KOMMURI	Assistant Professor	M.PHIL ENGLISH	8
8	LAKSHMI KOTHAKOTI	Assistant Professor	M.Sc, Mphil	13
9	REDDY SRAVANTHI	Assistant Professor	M.Tech	7
10	M Vagdevi Sri Amruthavalli	Assistant Professor	M.Tech	2
11	SUDHAKAR GANNAVARAM	Assistant Professor	M.Sc(Chem)	1
12	KASULA ARUNA	Assistant Professor	MSc MATHS	6
13	GOGINENI JAYA SREE	Assistant Professor	M.Tech	2
14	YETURI SRIDHAR	Assistant Professor	MBA	5
15	KOYI HARI BABU	Assistant Professor	M.Sc	11
16	YANDRATI JYOTSHNA	Assistant Professor	M.Tech	2
17	NAMBURI MANOHAR	Assistant Professor	M.Tech	2
18	KOLLI EDUKONDALU	Assistant Professor	M.A ENGLISH	2

Skills Gained:

A sound understanding of dynamics of industry, government and global business specific knowledge and expertise in business information systems.
Learn to use IT management skills to help improve business efficiency and sharpen a company’s competitive edge.
Build to help tomorrows business managers to get equipped for digital transformation, plan strategically and redesign business secure operations as well as establish business processes and direct digitalization in big and small companies.

Job Opportunities:

IT Systems / Business Analyst
Social Media Specialist
IT Project Manager
Systems Designer
Business Systems Designer
Business and Systems Analyst
Business Data Analyst
Digital Advertising / Marketing Analyst

Courses and Content Delivery

The following are the courses during B.Tech - Computer Science and Engineering (Data Science).

Required CoursesProgramming for Problem SolvingObject Oriented Design and ProgrammingData StructuresDiscrete Mathematical StructuresComputer OrganizationTheory of ComputationOperating SystemArtificial IntelligenceDesign and Analysis of AlgorithmsDatabase Management Systems and Data WarehouseLanguage ProcessingSoftware EngineeringComputer NetworksData Analytics and MiningWeb Technologies

Focused CoursesStatistical ModellingDigital MarketingBig Data and Business AnalyticsMachine Learning

Elective CoursesBusiness Management SystemsBusiness IntelligenceHuman Resource ManagementOrganizational BehaviourFinancial & Cost Accounting ModellingMarketing Research & ManagementIntroduction to Innovation, IP Management and EntrepreneurshipNeural Network and Deep learningPredictive AnalyticsAdvanced Social, Text and Media AnalyticsInformation Retrieval SystemScalable Systems for Data Science