IMT Centre For Distance Learing Ghaziabad
PG Programmes in Management > PGDM (Executive) – 15 Months > PGDM (EXECUTIVE) – Business Analytics
Data science and data analytics are at the core of every modern globalized industry.In the current business scenario, an unprecedented amount of information is available to organizations at their fingertips. This rapid expansion of available information is transforming every channel of business and turning business analytics into a vital skill for decision makers at every level of an organization. As more organizations move towards data-driven decision making, they need trained professionals to help them not only gather data, but also to formulate strategies for acting upon that information in order to accomplish organization goals.. This One Year Specialized Diploma Program will provide an introduction to probability and statistics for those planning to develop expertise and build careers in analytics and data science The course will equip the students with the basic quantitative and analytical tools necessary for decision- making and to develop their diagnostic and analytical skills through suitable logical problems and practical application concepts.
Bachelor’s Degree in any discipline from any recognized University or equivalent degree recognized by Association of Indian Universities (AIU) plus full time work experience of minimum Five (5) years after Graduation.
The PGDM (Executive) programme is covered in Two (2) semesters with an additional 3 months for project work.
The Programme is of total Fifty Six (56) credits. It includes Three (3) non-credit Foundation Courses, Nine (9) Core Courses with a total of Thirty Six (36) credits, Four (4) Elective Courses with a total of Sixteen (16) credits and a Project Work of Four (4) credits.
This programme structure is applicable for students enrolled in the current session.
The Basics of Accounting course aims to provide an essential understanding of financial terminologies and accounting process to management aspirants. The course builds the foundation for pursuing the core finance courses like manage-ment accounting and financial management. After completing this course, the participants will be acquainted with basic financial terminology like assets, liabilities, shares, bonds, etc. Participants will get to know the accounting process, components, and structure of financial statements like Statement of Profit & Loss and Balance Sheet.
The Basics of Communication course is designed to understand Communication and its significant contribution in em-ployee engagement, employee productivity and relationship building. It also discusses role of communication in mana-gerial effectiveness and functions.
The Basics of Management course will help to understand the competence of a workplace and the managers, direct/guide the employees, and effectively coordinate, to meet the goals of the team and mission of the organization. This course on management introduces the learner with the role of a manager and the key management functions.
This course is designed for students with no statistics background or as a refresher course for students who desire to review statistical methods before the sessions begin in the post graduate programmes. This course will help you in un-derstanding various methods of data collection and presentation. It covers descriptive statistics which is further divided into measures of central tendency and measures of variability (spread).
The course is designed to provide fundamental knowledge of microeconomic and macroeconomic concepts that are useful to understand economic situations ranging from decisions that individuals make every day to decisions made by firms and governments in complex markets. The course focuses on assessment of the economic behaviour of a firm and household, functioning of markets and implication of major macroeconomic policies.
The course on management accounting provides a basic understanding of financial reporting and short-run decision-making that every management participant should be aware of. The initial units explain various components of financial statements and the evaluation techniques like cash flow and ratio analysis. Subsequent units of the course provide detailed understanding of the cost concepts, elements of costs, absorption, and variable costing. It further delves into cost-volume-profit analysis, short-run decision making like make or buy decision, accepting a special order etc. Partic-ipants are also provided the knowledge of budget and budgetary control techniques and advances in management accounting like carbon accounting and human resource accounting.
The course aims at development of understanding of key marketing concepts and their real-world applications through practical examples and contemporary case studies. This course would help you in formulation of marketing strategy based on the analysis of external and internal factors that influence marketing decisions. It further helps you in analysing and evaluating the best marketing practices and its implementation to enhance business profitability through customer acquisition, engagement, relationship, and loyalty.
The course provides a basic understanding of statistics and its applications in data-driven business decision-making. It facilitates familiarisation with the terminology of statistics, defining, collecting, organising, visualising, and summarising the data. It also includes the process of drawing inferences from the sample study.
The course on Managerial Communication will help you to become effective in your verbal and nonverbal communication. It is all comprehensive as it discusses concepts related to role of communication in team building. It will help you in honing your writing skills as well as presentation skills. Job related communication is also a part of this course.
The course introduces the learner with the major concepts and techniques of strategic analysis and strategy formula-tion coupled with selection of strategic actions and strategy implementation. The course emphasis on the creation of a strategy and its implementation and their relevance to build sustainable competitive advantage.
The course on Financial Management provides with multiple facets of the utilization of financial resources, and the application of general principles of management to the financial belongings of an enterprise. The course aims to provide an understanding of mobilisation and utilisation of funds in an organisation. It provides the participants with the knowledge of various sources of funds and the proportion of funds to be used by a firm in view of the cost of funds and business risk faced by the organisation. The course also covers the decision-making process for long-term investments and working capital management.
The course on organisational behaviour defines behaviour of human beings in their workplace/s and/or corporate set-ting/s. It provides the behavioural knowledge of individual and group work within the organization that can help in explaining and predicting behaviour to improve workplace performances and effectiveness. It will help you to under-stand the reason why people behave in a certain way and why one team is more effective than the other; also, to demarcate the process for optimum utilization of resources.
The course provides visualisation of manufacturing and service systems as a transformation process of inputs into value-added outputs. The course emphasises applying analytical and critical thinking skills to operational decisions and integrating supply chains, for the competitive global and dynamic technological environment.
The course provides an understanding of data-oriented techniques for data cleaning, data extraction and data mining algorithms used for solving real world problems. The course focuses on types of data mining methods such as re-gression, classification, data clustering and will gain practical intuition about how to apply these techniques on dataset using modern data analysis framework.
The course provides knowledge and critical understanding of the information, performance measurement and cus-tomer insights in marketing. The course helps in building a learning on the discursive organizational processes through which data is translated into marketing practices and the use of analytics for marketing applications.
The course discusses different projects and business problems that are subject to risk or uncertainty. The course helps to develop an integrated solutions by designing a model, analysing output data, and using the results of the analysis to evaluate alternative decisions for the real-world business applications.
The course focuses on describing best practices using HR analytics to support data-driven decision making. The student will be able to classify data sources, HR benchmarks and metrics, for both long-term and short-term objec-tives, and applying results in support of organizational strategy and tactics.
The course introduces the concepts, processes, and applications of predictive modelling, and their practical use. The course emphasis on understands the problem of overfitting and underfitting of data and how to interpret the result. The course details on hands-on experience to different types of data, exploring data patterns, data transformation, data cleaning, pre-processing and how they may be used in predictive models.
The course provides an understanding of business problems with specific objectives and constraints. The course also addresses the issues in analysing the optimization problem and how simulation helps to model, design, im-prove and analyse such systems.
Foundation Courses | ||
---|---|---|
S. No. | Course Name | Credits |
1 | Basics of Accounting | Non Credit |
2 | Basics of Communication | Non Credit |
3 | Basics of Management | Non Credit |
Semester – I | ||
---|---|---|
S. No. | Course Name | Credits |
1 | Principle of Economics | 4 |
2 | Management Accounting | 4 |
3 | Marketing Management | 4 |
4 | Business Statistics | 4 |
5 | Managerial Communication | 4 |
6 | Strategic Management | 4 |
Semester – II | ||
S. No. | Course Name | Credits |
1 | Financial Management | 4 |
2 | Organisational Behaviour | 4 |
3 | Operations and Supply Chain Management | 4 |
4 | Elective-I | 4 |
5 | Elective-II | 4 |
6 | Elective-III | 4 |
7 | Elective-IV | 4 |
Project Term – 3 Months | ||
S. No. | Course Name | Credits |
1 | Project | 4 |
Total Programme Credits: 56 Credits. |
Area of Specialization – Business Analytics | ||
---|---|---|
S. No. | Elective Courses | Credits |
1 | Data Mining for Business Analytics | 4 |
2 | Marketing Analytics | 4 |
3 | Risk Analytics | 4 |
4 | HR Analytics | 4 |
5 | Predictive Modelling | 4 |
6 | Business Simulation | 4 |
7 | Data Science | 4 |
View Table of Contents |
PGDM (Executive) Programme | Semester-1 | Semester-2 | Total |
---|---|---|---|
Academic Fee | 55,000 | 55,000 | 1,10,000 |
Total Fee | 55,000 | 55,000 | 1,10,000 |
The fee for all the programmes is payable at the beginning of every semester. Study material would be sent only after the fee is received by IMT CDL. Failure to deposit the fee would debar the candidate from attending Online/Offline Learning Sessions (OLS) and continued failure would result in getting debarred from the programmes. The students are required to ensure timely payment of the fee.
Payments are accepted through Demand Draft, in favour of IMT CDL, payable at Delhi. The draft may be couriered to IMT CDL Ghaziabad, Head Office.
Students can deposit all types of fees through online mode also.
Coordinator – Admissions
IMT-Centre for Distance Learning,
A-16, Site-3, UPSIDC Industrial Area, Meerut Road, Ghaziabad – 201 003
Students are advised not to submit any fee payment through cash.
IMT CDL evaluation system has two components: Assignment (30 marks) and End Term Examination (70 marks). The student has to submit the assignments during the semester while examinations will be held at the end of semester. The examination will be held at designated centres.
The End-Term Examination (ETE) is held at the end of every semester.
The following components will comprise the ETE for each course:
– Analytical and conceptual comprehension through multiple choice questions.
– Case or problem-solving exercises.
Assignments are a very important aspect of the assessment system and an excellent tool for continuous evaluation. Two Assignments are conducted during the semester for each course. The assignments get activated in the student information system during the semester as per announced timelines. Students have to mandatorily submit their assignments before the commencement of the End-Term Examination.