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Programs Offered

The Department of Computer Science & Business Systems offers a JNTUK-affiliated four-year B.Tech programme whose curriculum is uniquely co-designed by Tata Consultancy Services (TCS) and leading academicians. The programme blends a rigorous Computer Science core with Industry 4.0 topics — Data Analytics, Machine Learning, Cloud Computing, Cyber Security, IoT — and a strong stream of management, finance, and humanities courses, producing industry-ready professionals for technology consulting, fintech, and analytics careers.

Our Programs

B.Tech CS & Business Systems Undergraduate
B.Tech CS & Business Systems
Domain Electives Domain Electives
TCS Curriculum & Domain Electives

B.Tech — Computer Science & Business Systems

The PEOs define what graduates of the B.Tech CSBS programme are expected to achieve within a few years of graduation. They reflect the TCS-aligned vision of producing industry-ready professionals who combine technology expertise with business and ethical judgement.

  • Graduates will apply computing, analytics, and business fundamentals to design and deliver impactful technology solutions for industry and society.
  • Graduates will integrate Industry 4.0 technologies — analytics, machine learning, cloud, IoT, and cyber security — with management principles to drive digital transformation.
  • Graduates will demonstrate ethical leadership, effective communication, and lifelong learning, advancing as consultants, analysts, entrepreneurs, or researchers in global organisations.

Program Outcomes describe the knowledge, skills, and attributes that students acquire by graduation. They align with national accreditation standards and the unique CSBS focus on integrating technology with business systems.

  • Engineering Knowledge: Apply mathematics, computing, and business fundamentals to model and solve complex business-technology problems.
  • Problem Analysis: Identify, formulate, and analyse problems across software, data, and business processes using first principles.
  • Design & Development: Design software systems, analytics pipelines, and digital business processes that meet user, regulatory, and ethical requirements.
  • Investigation: Use data-driven research methods to investigate business problems and synthesise valid conclusions.
  • Modern Tools: Apply contemporary tools — Python, R, SQL, cloud platforms, ERP suites, BI dashboards — for analysis, modeling, and deployment.
  • Engineer & Society: Assess the societal, legal, and cultural implications of technology choices in business contexts.
  • Sustainability: Build digital solutions that consider environmental, economic, and organisational sustainability.
  • Ethics: Demonstrate professional ethics, data privacy awareness, and responsibility in business and engineering practice.
  • Teamwork: Function effectively in multidisciplinary teams of engineers, business analysts, and domain experts.
  • Communication: Communicate technical and business ideas through reports, presentations, and dashboards to diverse audiences.
  • Project & Finance Management: Apply project, finance, and operations management principles to plan and execute technology initiatives.
  • Lifelong Learning: Engage in continuous learning to adapt to evolving Industry 4.0 technologies and business models.

PSOs are specialised competencies that distinguish the CSBS programme. They focus on the unique convergence of computer science, business systems, and analytics that defines a CSBS graduate.

  • Architect and develop scalable software and analytics solutions that solve real-world business problems across finance, operations, and customer experience.
  • Apply data analytics, machine learning, and business intelligence to translate enterprise data into actionable strategy and measurable value.
  • Combine technology, management, and ethical reasoning to lead digital transformation projects in consulting, IT services, and fintech organisations.

The TCS-aligned curriculum sequences core computing, mathematics, business, and emerging technologies across eight semesters, culminating in a full-semester industry internship and capstone project.

  • Year 1: Programming, Mathematics for Computing, Statistics, Business Communication, Principles of Economics, Discrete Structures.
  • Year 2: Data Structures, OOP, DBMS, Operating Systems, Computer Organization, Financial Accounting, Operations Research, Software Engineering.
  • Year 3: Computer Networks, Design & Analysis of Algorithms, Web Technologies, Data Analytics, Machine Learning, Information Systems, Enterprise Resource Planning, Business Strategy.
  • Year 4: Cloud Computing, Cyber Security, IoT, Big Data, Domain Electives (Financial Analytics, BI, Operations Research, IT Strategy), Capstone Project & Industry Internship.

TCS Curriculum Highlights & Domain Electives

A focused track preparing students for analyst and FinTech roles in banking, capital markets, and risk advisory.

  • Financial Modeling & Valuation, Quantitative Finance, Risk Analytics.
  • Algorithmic Trading, Time Series Forecasting, Credit & Fraud Analytics.
  • Tools: Excel/VBA, Python (pandas, statsmodels), R, Bloomberg-style market data feeds.

Transform enterprise data into dashboards, reports, and decisions for product, marketing, and operations leaders.

  • Data Warehousing, ETL Pipelines, Dimensional Modeling, OLAP.
  • Dashboarding & Visualisation with Power BI, Tableau, Looker.
  • Customer Analytics, Marketing Mix Modeling, KPI Design.

Apply mathematical optimisation and simulation to solve supply chain, scheduling, and resource allocation problems.

  • Linear & Integer Programming, Network Flows, Queuing Theory.
  • Supply Chain Analytics, Inventory Optimisation, Discrete-Event Simulation.
  • Tools: AMPL, Gurobi/CPLEX, Python (PuLP, SimPy).

Prepare for IT consulting and digital transformation roles at firms like TCS, Deloitte, Accenture, and the Big Four.

  • Enterprise Architecture, IT Governance, Digital Transformation Frameworks.
  • Service Management (ITIL), Vendor & Sourcing Strategy, Cloud Economics.
  • Case-based learning with consulting frameworks and real client problem statements.
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