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1 Software Engineering for Working Professionals Career progression in the software industry calls for learning a full stack of multiple technologies, acquiring an ability to architect high impact solutions, envision & design great new products, solve complex problems and manage cross functional collaborations. It also entails having an understanding of several new digital technologies to integrate capabilities and features that deliver the best value to users and customers. Software Engineering from BITS Pilani is a unique work integrated learning programme for working professionals that covers a full stack of technologies and competencies required to accelerate in the software industry today. A comprehensive curriculum, extensive emphasis on experiential learning using remote labs and cloud labs and a flexible education methodology that enables working professionals to acquire a prestigious post graduate engineering degree while pursuing their careers, the Software Engineering is just the right programme for career growth in the software industry.

2 Software Engineering is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved. Software Engineering Apply Now What are the Highlights of the Programme? Software Engineering is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved. The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break. Semesters 1st, 2nd, and 3rd cover four courses each. The 4th semester covers Dissertation/. Project Work. Extensive use of Cloud-based virtual labs and Remote labs to give hands-on access to tools and platforms such as Jenkins, Docker, GitHub, SonarQube, Selenium, Tomcat, Maven, Open Project, Gantt Project and WireShark, Java, Python, Prolog, Lisp, Selenium Web driver, Python Ecosystem NumPy, SciPy, Pandas, scikit-learn, MatplotLib; Searborn, Keras, NLTK, SQLite and pgmpy, Eclipse, Weka, Microsoft Power BI, TensorFlow, Tableau and Anaconda Navigator, EdgecloudSim and IoTSimEdge, Apache Hadoop, Apache Storm, Apache Spark, Apache Kafka, MongoDB, CockroachDB and MPI Semesters 1st, 2nd, and 3rd cover four courses each.

3 The 4th semester covers Dissertation/ Project Work. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work integrated activities. Option to submit fee using easy - EMI with 0% interest and 0 down payment. Software Engineering Apply Now This program enables students to What are the programme objectives? This program enables students to.

4 Discover and analyze customer needs and market insights to identify and assess software product opportunities Define product requirements, develop a strategy and roadmap for product roll out Apply contemporary software architectural and design principles for implementation of robust, maintainable and scalable software products Design, develop, test and deploy software by applying appropriate tools and techniques, supporting industry best practices, including automation with continuous integration and delivery Plan and manage a software product lifecycle through the use of agile methodologies and rapid product releases Assess product performance continuously using relevant analytical approaches for customer insight collection, product roadmap refinement, and feature (re)prioritization Apply SW engineering and product management practices in the context of specific domains.

5 What are the student learning outcomes? Upon successful completion of the program, participants would have developed: An advanced knowledge of software architectural models and practices appropriate for engineering complex software systems Competency in evaluating and adapting software development processes, and in tools needed for a range of applications from the conventional web/mobile apps to the modern cross-platform, cloud-native apps Skills required for eliciting user needs, designing, implementing and releasing an effective solution employing state-of-the-art full stack frameworks, and technologies. Readiness to take an idea from concept through prototype creation to market launch with the help of tried-and-true methodologies practiced in software product management Software Engineering Apply Now An ability to effectively function individually and collaborate as a part of a software team to establish goals, plan tasks, and meet objectives.

6 Learning Outcomes for Full Stack Engineering Learning Outcomes for FSE Specialization Specialization The students will be able to: Design and craft cloud-native solutions based on Microservices architecture deployed through cloud technologies like KB8S. Incrementally develop production-grade software using Agile principles and processes Deliver applications through short cycles by implementing the CI/CD pipeline with open source and cloud-based platforms Learning Outcomes for Software Product Management Learning Outcomes for SPM Specialization Specialization The students will be able to: Learning Outcomes for Full Stack Engineering Specialization Discover, conceptualize, and evaluate the viability of a software product idea Establish and communicate a roadmap Orchestrate a software product life-cycle while applying design thinking, agile practices and a data driven approach Software Engineering Apply Now Learning methodology Attend online lectures over weekends Lectures are conducted live via online classes.

7 These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. Classes for students admitted during the period Apr 2023 - July 2023 will begin in July/Aug 2023. The class schedule is announced within 1 week of completion of the admission process. The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet. Digital learning Learners can access engaging learning material at their own pace which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable. Experiential learning The programme emphasizes on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations.

8 This is achieved through 3 lab setups. Apart from these, AWS is also extensively used for experiments on Scalable Services. Cloud based virtual lab hosts Dev-Ops tool chain, languages and programming platforms for Full Stack engineering and other simulators: Tools : WireShark. Languages and Library: Selenium Web driver, Python Ecosystem Programming Platforms: Simulators: EdgecloudSim and IoTSimEdge. Software Engineering Apply Now Programming Environments: Others: CPU-OS Simulator, Remote Lab facility caters to the needs of resource intensive requirements of Big Data Analytics applications with the following platforms: Apache Hadoop Apache Storm Apache Spark Apache Kafka MongoDB. CockroachDB MPI. Continuous assessment Continuous Assessment includes graded Assignments/Quizzes, Mid-semester exam, and Comprehensive Exam.

9 The material in this brochure is provided for educational and informational purposes. All the images that have been used belong to their respective owners and have been picked up from the public domain. Software Engineering Apply Now Mode of Examinations Examinations Mode Options applicable for students admitted in Batch starting in July/Aug 2023. Semester 1, 2 and 3 have Mid-Semester Examinations and Comprehensive Examinations for each of course. These examinations are mostly scheduled over weekends. During these semesters, in addition to the Mid-Semester and Comprehensive examinations, there will also be Quizzes/Assignments conducted online on the Learning Management System (LMS) as per the course plan in which the students need to participate. In Semester 4 (Final Semester), the student will be doing a Dissertation/Project Work as per the Institution's guidelines.

10 Two Options on Mode of Examinations during Semester 1 & 2: The institution offers a choice between taking the examination Online or taking them at a Designated Examination Center. The student will choose one of the options depending on his or her own preference and circumstances. Both options are explained below: Online Examinations: Students choosing this option can take the examinations online from any location office or home. To take an Online Examination, the student must possess a Laptop or Desktop system with Two Web Cams (One Web Cam for the student's frontal face view and a Second Web Cam for the student's and Laptop or Desktop system's full side view during the exam), a smartphone and good internet connectivity. Please click here to refer to the complete details about mandatory IT and Non-IT Infrastructure requirements for taking the online examinations.