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B-TECH in Digital Transformation at Sharda University
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is Digital Transformation at Sharda University Gautam Buddh Nagar?
This Digital Transformation program at Sharda University focuses on equipping students with expertise in leveraging cutting-edge technologies to drive organizational change and innovation. It addresses the growing need in the Indian industry for professionals capable of strategizing, implementing, and managing digital initiatives across various sectors, preparing graduates for the dynamic demands of a digitally evolving economy.
Who Should Apply?
This program is ideal for fresh engineering graduates seeking entry into technology-driven business roles, and working professionals looking to upskill in digital strategy, product management, or data analytics. Aspiring entrepreneurs aiming to launch digitally-native startups or career changers transitioning into tech leadership will also find significant value in its comprehensive curriculum.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Digital Transformation Consultants, Product Managers, Data Analysts, or IoT Solution Architects, often securing competitive salaries ranging from INR 6-15 LPA for entry to mid-level roles. They will be prepared for leadership positions in tech-driven Indian companies and MNCs, aligning with certifications in areas like Agile, Cloud, or AI/ML.
Student Success Practices
Foundation Stage
Build Strong Programming & Mathematical Foundations- (Semester 1-2)
Focus on mastering C programming, data structures, object-oriented concepts, and engineering mathematics. Regularly solve problems to enhance logical thinking and algorithmic skills, which are crucial for advanced digital transformation topics.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses for Maths
Career Connection
A strong foundation in these areas directly impacts problem-solving abilities required for complex digital solutions and is a primary filter in early-stage interviews for tech roles.
Engage in Early Project-Based Learning- (Semester 1-2)
Participate in mini-projects or coding challenges, even if simple. Apply learned concepts to build small applications or tools. This hands-on experience builds a practical portfolio and reinforces theoretical knowledge.
Tools & Resources
GitHub for version control, VS Code, Online IDEs
Career Connection
Early practical exposure enhances understanding and provides tangible examples for internships and entry-level job applications, demonstrating initiative and applied skills.
Develop Effective Communication Skills- (Semester 1-2)
Utilize English communication classes and lab sessions to improve presentation, technical writing, and interpersonal skills. Join student clubs focused on public speaking or debates.
Tools & Resources
Toastmasters International (if available), Grammarly, Presentation software
Career Connection
Strong communication is vital for presenting ideas, collaborating in teams, and acing interviews for consulting and product roles in digital transformation.
Intermediate Stage
Deep Dive into Core Digital Technologies- (Semester 3-5)
Focus intently on Database Management Systems, Computer Networks, and the initial Digital Transformation Technology subjects. Understand the architecture and principles of these systems, their practical applications, and emerging trends.
Tools & Resources
SQL databases (MySQL, PostgreSQL), Network simulators (Packet Tracer), Cloud platforms (AWS/Azure free tier)
Career Connection
Mastery of these technologies is fundamental for roles like Digital Architect, Business Analyst, or Solution Developer, directly impacting your ability to design and implement digital solutions.
Seek Internships and Industry Exposure- (Semester 4-5)
Actively apply for internships during summer breaks with startups or established companies focused on digital solutions, IT consulting, or e-commerce in India. Attend industry workshops and tech conferences.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry events portals
Career Connection
Internships provide invaluable real-world experience, expand professional networks, and are often a direct pathway to pre-placement offers in leading companies.
Build a Digital Transformation Project Portfolio- (Semester 5)
Start working on projects that integrate various digital transformation technologies like cloud services, basic AI/ML, or IoT. Focus on problem statements relevant to Indian businesses or societal challenges.
Tools & Resources
Kaggle for datasets, Open-source IoT platforms, Public cloud tutorials
Career Connection
A robust portfolio showcases your ability to apply specialization knowledge, making you highly attractive to employers in digital transformation roles.
Advanced Stage
Specialize in Advanced Digital Domains- (Semester 6-8)
Concentrate on subjects like Machine Learning, Cloud Computing, IoT, Blockchain, and Digital Product Management. Pursue online certifications in areas complementing your chosen career path within digital transformation.
Tools & Resources
Coursera, edX, Udemy for certifications, AWS/Azure/GCP certifications, Blockchain platforms (Ethereum, Hyperledger)
Career Connection
Advanced specialization distinguishes you in the job market, opening doors to high-demand roles like ML Engineer, Cloud Solutions Architect, or Blockchain Developer in India.
Undertake a Comprehensive Capstone Project- (Semester 7-8)
Dedicate significant effort to the final year project, focusing on a complex digital transformation problem. Aim for an innovative solution with a clear business impact, ideally with industry mentorship.
Tools & Resources
Project management software, Advanced development environments, Mentorship from faculty/industry
Career Connection
A strong capstone project serves as a powerful demonstration of your expertise, critical for showcasing skills to potential employers during placements and graduate school applications.
Focus on Placement Readiness & Networking- (Semester 7-8)
Participate in mock interviews, resume-building workshops, and group discussions organized by the university. Network actively with alumni and industry professionals through LinkedIn and career fairs to explore job opportunities and gain insights.
Tools & Resources
Sharda University Alumni Network, LinkedIn for professional networking, Placement cell resources
Career Connection
Proactive placement preparation and networking significantly increase your chances of securing desirable job offers with top-tier companies in the Indian digital landscape.
Program Structure and Curriculum
Eligibility:
- Minimum 60% aggregate in 10+2 or equivalent examination with Physics, Mathematics & Chemistry/Computer Science/Biology/Biotechnology/Informatics Practices/Engineering Graphics. Good score in SUAT/JEE Mains/UPSEE.
Duration: 4 years / 8 semesters
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEE 101 | Basic Electrical Engineering | Core Engineering | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Power Systems |
| BEE 151 | Basic Electrical Engineering Lab | Lab | 1 | Network theorems verification, Transformer characteristics, Motor starting, Power measurement, Wiring practices |
| BMAT 101 | Engineering Mathematics – I | Core Science | 4 | Differential Calculus, Integral Calculus, Matrices, Ordinary Differential Equations, Multivariable Calculus |
| BPHY 101 | Engineering Physics | Core Science | 3 | Wave Optics, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electromagnetic Theory |
| BPHY 151 | Engineering Physics Lab | Lab | 1 | Experimentation with lenses, Spectrometers, Semiconductor devices, Optical fibers, Ultrasonic waves |
| BCS 101 | Programming for Problem Solving | Core Engineering | 3 | C Language Basics, Control Structures, Arrays and Strings, Functions and Pointers, Structures and File Handling |
| BCS 151 | Programming for Problem Solving Lab | Lab | 1 | C program execution, Conditional statements, Looping constructs, Array operations, Function implementation |
| BENG 101 | English for Communication | Humanities | 2 | Grammar, Reading Comprehension, Writing Skills, Speaking Skills, Presentation Techniques |
| BENG 151 | English for Communication Lab | Lab | 1 | Pronunciation practice, Group discussions, Public speaking, Interview skills, Listening comprehension |
| BSW 101 | NSS/NCC/Yoga | Mandatory Non-Credit | 1 | Social service, Physical fitness, Leadership, Discipline, Yoga practices |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BEC 101 | Basic Electronic Engineering | Core Engineering | 3 | Semiconductor Devices, Transistor Biasing, Operational Amplifiers, Digital Electronics, Transducers |
| BEC 151 | Basic Electronic Engineering Lab | Lab | 1 | Basic circuit components, Digital ICs, Diodes and Transistors, Rectifiers, Logic Gates |
| BMAT 102 | Engineering Mathematics – II | Core Science | 4 | Advanced Calculus, Multiple Integrals, Vector Calculus, Laplace Transforms, Fourier Series |
| BCHE 101 | Engineering Chemistry | Core Science | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Engineering Materials, Fuels and Combustion |
| BCHE 151 | Engineering Chemistry Lab | Lab | 1 | Titration methods, pH measurements, Viscosity determination, Chemical analysis, Calorimetry |
| BME 101 | Engineering Graphics & Design | Core Engineering | 3 | Orthographic Projections, Isometric Projections, Sections of Solids, Development of Surfaces, CAD tools |
| BME 151 | Engineering Graphics & Design Lab | Lab | 1 | Drafting practice, Solid modeling, Assembly design, Dimensioning, CAD software |
| ENVS 101 | Environmental Science | Humanities | 3 | Ecosystems, Biodiversity, Pollution Control, Natural Resources, Environmental Legislation |
| ENVS 151 | Environmental Science Lab | Lab | 1 | Water quality analysis, Soil testing, Air pollution monitoring, Waste management, Energy auditing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS 201 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting, Hashing |
| BCS 251 | Data Structures Lab | Lab | 1 | Implementation of lists, Stack operations, Tree traversals, Graph algorithms, Sorting techniques |
| BCS 202 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Abstraction, Exception Handling |
| BCS 252 | Object Oriented Programming Lab | Lab | 1 | Class design, Inheritance hierarchy, Polymorphic functions, Operator overloading, File I/O |
| BCS 203 | Digital Electronics | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Elements |
| BCS 253 | Digital Electronics Lab | Lab | 1 | Verification of logic gates, Adder/subtractor implementation, Flip-flops, Counters, Shift registers |
| BMAT 201 | Discrete Mathematics | Core Science | 4 | Set Theory, Relations and Functions, Logic and Proofs, Graph Theory, Algebraic Structures |
| BHU 201 | Professional Communication | Humanities | 2 | Business Correspondence, Technical Writing, Presentation Skills, Group Discussion, Interview Techniques |
| BSW 201 | NCC/NSS/Yoga | Mandatory Non-Credit | 1 | Community service, Physical wellness, Ethical conduct, Teamwork, Leadership |
| BEE 201 | Cyber Security Awareness | Core | 2 | Cybersecurity concepts, Network security, Data privacy, Cyber threats, Best practices |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS 204 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Concurrency Control |
| BCS 254 | Operating Systems Lab | Lab | 1 | Process creation, Thread synchronization, Deadlock prevention, Memory allocation, Shell scripting |
| BCS 205 | Computer Organization & Architecture | Core | 3 | Processor Design, Memory Hierarchy, I/O Organization, Instruction Sets, Pipelining |
| BCS 206 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BCS 256 | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of sorting, Shortest path algorithms, Minimum spanning trees, Flow networks, NP-completeness |
| BMAT 202 | Probability and Statistics | Core Science | 4 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression Analysis |
| BEE 202 | Indian Constitution | Humanities | 2 | Constitutional framework, Fundamental rights, Directive principles, Union and State government, Constitutional amendments |
| BEE 203 | Disaster Management | Humanities | 2 | Disaster types, Risk assessment, Mitigation strategies, Preparedness, Emergency response |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS 301 | Database Management Systems | Core | 3 | Data Models, SQL, Relational Algebra, Normalization, Transaction Management |
| BCS 351 | Database Management Systems Lab | Lab | 1 | SQL queries, Database design, ER diagrams, Stored procedures, Data manipulation |
| BCS 302 | Theory of Computation | Core | 3 | Automata Theory, Regular Languages, Context-Free Grammars, Turing Machines, Undecidability |
| BCS 303 | Computer Networks | Core | 3 | OSI Model, TCP/IP Protocol Suite, Network Topologies, Routing Algorithms, Network Security |
| BCS 353 | Computer Networks Lab | Lab | 1 | Network configuration, Socket programming, Protocol analysis, Network troubleshooting, Packet sniffing |
| BCS DT 301 | Digital Transformation Technology | Specialization Core | 3 | Digital Transformation Concepts, Disruptive Technologies, Digital Business Models, Customer Experience, Digital Strategy |
| BHU 301 | Entrepreneurship and Startup | Humanities | 2 | Startup Ecosystem, Business Plan, Funding, Marketing, Legal Aspects of Business |
| BCS DT 351 | Digital Transformation Technology Lab | Specialization Lab | 1 | Digital platform analysis, Case studies, Technology application, Digital solution prototyping, Market analysis |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS 304 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| BCS 305 | Artificial Intelligence | Core | 3 | Intelligent Agents, Search Algorithms, Knowledge Representation, Machine Learning, Natural Language Processing |
| BCS 355 | Artificial Intelligence Lab | Lab | 1 | AI search implementations, Expert systems, Machine learning algorithms, Image processing, Text analytics |
| BCS DT 302 | Digital Transformation Strategy | Specialization Core | 3 | Strategic Planning, Business Process Re-engineering, Change Management, Digital Operating Models, Value Creation |
| BCS DT 303 | Digital Marketing & Analytics | Specialization Core | 3 | SEO, SEM, Social Media Marketing, Content Marketing, Web Analytics, Data-driven decisions |
| BCS DT 352 | Digital Marketing & Analytics Lab | Specialization Lab | 1 | Campaign management, Analytics tools, Content creation, SEO optimization, Social media strategy |
| BEE 301 | Project Based Learning (PBL) | Project | 2 | Problem identification, Project planning, Design and development, Testing and evaluation, Report writing |
| BCS 306 | Software Engineering (Discipline Elective – I) | Elective | 3 | Software Development Life Cycle, Requirements Engineering, Design Principles, Software Testing, Project Management |
| BCS 307 | Microprocessor & Microcontroller (Discipline Elective – I) | Elective | 3 | 8085 Architecture, Instruction Set, Programming, Interfacing, Microcontrollers |
| BCS 308 | Computer Graphics (Discipline Elective – I) | Elective | 3 | Graphics Primitives, 2D/3D Transformations, Clipping, Projections, Shading |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS 401 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Deep Learning Basics |
| BCS 451 | Machine Learning Lab | Lab | 1 | Regression models, Classification algorithms, Clustering, Dimensionality reduction, Neural networks |
| BCS 402 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Cloud Architectures |
| BCS DT 401 | Digital Product Management | Specialization Core | 3 | Product Lifecycle, Market Research, User Stories, Agile Development, Product Launch |
| BCS DT 402 | IoT and Industry 4.0 for Digital Transformation | Specialization Core | 3 | IoT Architectures, Sensors and Actuators, Industrial IoT, Smart Manufacturing, Digital Twins |
| BCS DT 451 | IoT and Industry 4.0 for Digital Transformation Lab | Specialization Lab | 1 | IoT device programming, Sensor data acquisition, Cloud integration, Industrial automation, Data visualization |
| OE – I | Open Elective – I | Open Elective | 3 | Interdisciplinary concepts, Emerging technologies, Cross-functional skills, Management principles, Humanities and Social Sciences |
| BEE 401 | Project – I | Project | 4 | Literature review, Problem definition, Methodology design, Prototype development, Interim report |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS DT 403 | Blockchain Technology for Digital Transformation | Specialization Core | 3 | Cryptography, Distributed Ledgers, Smart Contracts, Blockchain Platforms, Use Cases in DT |
| BCS DT 404 | AI & Data Analytics for Digital Transformation | Specialization Core | 3 | Data Mining, Big Data Technologies, Predictive Analytics, Machine Learning Models for DT, Ethical AI |
| BCS DT 452 | AI & Data Analytics for Digital Transformation Lab | Specialization Lab | 1 | Data visualization tools, Machine learning libraries, Big data frameworks, Predictive modeling, AI application development |
| BCS 403 | Data Mining & Data Warehousing (Discipline Elective – II) | Elective | 3 | Data Preprocessing, Association Rules, Classification, Clustering, Data Warehouse Architecture |
| BCS 404 | Distributed Systems (Discipline Elective – II) | Elective | 3 | Client-Server Architecture, RPC, Distributed File Systems, Concurrency Control, Fault Tolerance |
| BCS 405 | Information Security (Discipline Elective – II) | Elective | 3 | Cryptography, Network Security, Access Control, Security Protocols, Ethical Hacking |
| OE – II | Open Elective – II | Open Elective | 3 | Advanced interdisciplinary studies, Global business practices, Strategic management, Public policy, Sustainable development |
| BEE 402 | Project – II | Project | 8 | Project execution, System integration, Performance evaluation, Thesis writing, Project presentation |
