BBA (Analytics and Big Data) - Programming for Analytics
DETAILS
Duration of Program 3 years (6 Semesters)
Seats 50*
*Total Seats in BBA (Analytics and Big Data)
This course introduces the essential general programming concepts and techniques – such as Boolean, numbers, loops, function, debugging, specifics of R and Python – to students without prior programming knowledge. On completion, students will be able to identify the dataset characteristics, select and implement the machine learning techniques, and solve problems having high data dimensions and rapid data generation rate along with scalability issues.
Academic Framework
The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.
The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.
SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.
- Placement in IT firms and telecommunication industries
- Market research analyst in Retail sector
- Data scientist/market research analyst in Manufacturing units
- Data scientist/market research analyst in E-commerce firms
- Data scientist in Business Intelligence organizations
- Academic associate roles in IIMs and other B-schools
Minimum 50% marks in Classes X and XII
Entrance Exam : (UPESMET-UG) / UGAT’2
The schedule for UPESMET-UG:
| Name of the Program | Mode of Test | Date of Test | Duration | Last Date to Apply |
|
BBA & Integrated (BBA-MBA) |
Online | 15th - 17th April 2022 | 1.5 hours | 12th April 2022 |
Non-Examination Pathway:
BBA & Integrated (BBA) - (MBA) Admissions through National Level Tests
COURSE
| Course | Credits | Percentage |
| Major Foundation | 47 | 35% |
| Major Core | 30 | 22% |
| Specialization | 6 | 4% |
| Dissertation | 6 | 4% |
| Life Skills | 12 | 9% |
| Signature | 15 | 11% |
| Minor/Exploratory | 15 | 11% |
| Internships and Industry Visit | 3 | 2% |
| Total | 134 | 100% |
| SFLI Total | 42 | 31% |
SEMESTER I
| Subject Code | Subject | Credits |
| GMHR 1201 | Introduction to Management & Leadership | 3 |
| ECON 1001 | Business Economics I | 3 |
| DSQT 1001 | Business Mathematics | 3 |
| FINC 1001 | Business Accounting | 3 |
| HUMN 1001 | Business Communication | 3 |
| HRES 2001 | Organizational Behavior | 3 |
| DSBA 2004 | Business Analytics | 3 |
| SLICL01 | Learnimg How to learn | 2 |
| SLICL02 | Living Conversations | 2 |
| TOTAL | 25 |
SEMESTER II
| Subject Code | Subject | Credits |
| HRES 3001 | Human Resource Management | 3 |
| ECON 1006 | Business Economics II | 3 |
| FINC 1002 | Financial Management | 3 |
| MKTG 2001 | Marketing Management | 3 |
| DSQT 1004 | Business Statistics | 3 |
| SLICS01 | Critical Thinking and Writing | 3 |
| SLICL03 | Leadership and Teamwork | 2 |
| Minor/Exploratory I | 3 | |
| TOTAL | 23 |
SEMESTER III
| Subject Code | Subject | Credits |
| DSQT 1012 | Spreadsheet Modeling | 3 |
| DSRM 2001 | Research Methodology & Report Writing | 3 |
| Operations Research | 3 | |
| DSQT 2003 | Data Environment | 3 |
| CSEG 2020 | Data Management | 3 |
| Minor/Exploratory II | 3 | |
| SLICL04 | Design Thinking | 2 |
| SLICS02 | Ethical Leadership in the 21st Century (Human Values and Ethics) | 3 |
| TOTAL | 23 |
SEMESTER IV
| Subject Code | Subject | Credits |
| STGM 3002 | Business Policy & Strategy | 3 |
| DSQT 2004 | Advanced Statistics | 3 |
| DSIT 3004 | Data Preparation | 3 |
| CSBA 2008 | Web Analytics | 3 |
| Minor/Exploratory III | 3 | |
| SLICS03 | Environment and Sustainability - Himalaya Fellowship | 3 |
| SLICL05 | Working with Data | 2 |
| INDT 3101 | Industrial Visit | 1 |
| Specialization Paper 1 | 3 | |
| TOTAL | 24 |
SEMESTER V
| Subject Code | Subject | Credits |
| HRES 3003 | Project Management | 3 |
| SIIB 3101 | Summer Internship | 2 |
| DIST 3101 | Dissertation I | 2 |
| DSBA 3005 | Text Mining | 3 |
| STGM 3006 | Business Intelligence | 3 |
| DSBA 3006 | Predictive Modelling | 3 |
| Specialization Paper 2 | 3 | |
| SLICL06 | Persuasive Presence | 2 |
| Minor/Exploratory IV | 3 | |
| SLICS04 | Start your Start-up | 3 |
| TOTAL | 27 |
SEMESTER VI
| Subject Code | Subject | Credits |
| GMHR 1301 | Corporate Social Responsibility | 2 |
| DIST 3102 | Dissertation II | 4 |
| Signature 5 | 3 | |
| Minor/Exploratory V | 3 | |
| TOTAL | 12 |
SPECIALIZATION
| Subject | Subject Code | |
| Specialization Paper 1 | Overview of Programming for Analytics | DSBA 8004 |
| Specialization Paper 2 | Data Visualization | DSBA 8001 |
LIFE SKILLS
| Life Skills | Credits | |
| Learning how to learn | 2 | Life Skill I |
| Living Conversations | 2 | Life Skill II |
| Leadership and Teamwork | 2 | Life Skill III |
| Design Thinking | 2 | Life Skill IV |
| Working With Data | 2 | Life Skill V |
| Persuasive Presence | 2 | Life Skill VI |
SIGNATURE
| Signature | Credits | |
| Critical Thinking and Writing | 3 | Signature 1 |
| Ethical Leadership in the 21st Century (Human Values and Ethics) | 3 | Signature II |
| Environment and Sustainability - Himalaya Fellowship | 3 | Signature III |
| Start your Start-up | 3 | Signature IV |
| Choose from basket below: | 3 | Signature V |
| Solving Complex Problems | SLIES01 | |
| Technologies of the Future | SLIES02 | |
| Future Casting | SLIES03 | |
| Managing Relationships and Being Happy | SLIES04 |
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