inLeading to a Masters in Data Science, Artificial Intelligence & Business Analytics
The fast pace of innovation and business today requests a learning approach that fits the necessities of both the individual and the organization. We built a learning system to reflect that need. Adapting today requires a guided methodology through the intricate number of formal and casual learning alternatives. It requires a methodology that envelops the top learning techniques utilized today and adjusts them to help hierarchical results.
Our learning ecosystem is designed to support how learning is done today and evolves to meet advances in technology and individual learning needs. Integrating the world’s largest collection of proprietary and IT partner content, resources, and expertise with a global instructor pool of more than 300 real-world experts, Vepsun Technologies delivers custom learning to global organizations no matter where their workforce is located to drive quantifiable results.
FOM became the first private university in Germany to be accredited by the FIBAA (Foundation for International Business Administration Accreditation) the agency for Quality assurance in the university sector. This shows that FOM has extremely well-managed internal quality management system and satisfies the highest international standards.
FOM has been titled as the Best Practice University of the German UNESCO Commission in the UN Decade of Education for Sustainable Development at universities.
WR Institutional Accreditation by Science Council .FOM is the first university in North-Rhine Westphalia to receive a quality seal from the German Council of Science and Humanities in 2004.
EKS The Accreditation procedure is conducted by the evolation committee for cources of study (EKS) as an external body.
System Accreditation The Foundation for International Business Administration Accreditation has repeatedly confirmed the academic quality and professional relevance of FOM's Bachelor and Master's Degree Programmes.
Credit Points: 5
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 5
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 5
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 6
Credit Points: 25
Credit Points: 6
Build a foundation for the most in-demand programming language of the 21st century.
Learn how to manipulate datasets in Python using Pandas which is the most powerful library for data preparation and analysis.
Humans are visual learners and hence no task related to data is complete without visualisation. Learn to plot and interpret various graphs in Python and observe how they make data analysis and drawing insights easier.
Learn how to find and analyze the patterns in the data to draw actionable insights.
a) Reading and Getting Data into R
b) Data Objects-Data Types & Data Structure.
c) Viewing Named Objects, Structure of Data Items, Manipulating and Processing Data in R (Creating, Accessing, Sorting data frames, Extracting, Combining, Merging, reshaping data frames)
d) Control Structures, Functions in R (numeric, character, statistical)
e) working with objects, Viewing Objects within Objects, Constructing Data Objects, Packages – Tidyverse, Dplyr, Tidyr etc., Queuing Theory,
f) Non parametric Tests- ANOVA, chi-Square, t-Test, U-Test
g) Interactive reporting with R markdown
Learners will fill in the shoes of an analyst at an investment bank and determine where the firm should invest. They will then have to explain their recommendations in lieu of the analysis conducted
Build a strong statistical foundation and learn how to ‘infer’ insights from a huge population using a small sample.
Understand how to formulate and validate hypotheses for a population to solve real-life business problems.
Venture into the machine learning community by learning how one variable can be predicted using several other variables through a housing dataset where you will predict the prices of houses based on various factors.
Learn your first binary classification technique by determining which customers of a telecom operator are likely to churn versus who are not to help the business retain customers.
Understand the basic building blocks of Naive Bayes and learn how to build an SMS Spam Ham Classifier using Naive Bayes technique.
Learn the pros and cons of simple and complex models and the different methods for quantifying model complexity, along with regularisation and cross validation.
Learn how to find a maximal marginal classifier using SVM, and use them to detect spam emails, recognize alphabets and more!
Learn how the human decision-making process can be replicated using a decision tree and other powerful ensemble algorithms.
Learn how weak learners can be ‘boosted’ with the help of each other and become strong learners using different boosting algorithms such as Adaboost, GBM, and XGBoost.
Learn how to group elements into different clusters when you don’t have any pre-defined labels to segregate them through K-means clustering, hierarchical clustering, and more.
Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn
Do you get annoyed by the constant spams in your mail box? Wouldn’t it be nice if we had a program to check your spellings? In this module learn how to build a spell checker & spam detector using techniques like phonetic hashing, bag-of-words, TF-IDF, etc.
Learn how to analyze the syntax or the grammatical structure of sentences with the help of algorithms & techniques like HMMs, Viterbi Algorithm, Named Entity Recognition (NER), etc.
Build a POS tagger for tagging unknown words using HMMs and modified Viterbi algorithm
Learn the most interesting area in the field of NLP and understand different techniques like word-embeddings, LSA, topic modeling to build an application that extracts opinions about socially relevant issues (such as demonetization) on social media platforms.
Imagine if you could make restaurant booking without opening Zomato. Build your own restaurant-search chatbot with the help of RASA - an open source framework and deploy it on Slack.
Learn the most sophisticated and cutting-edge technique in machine learning - Artificial Neural Networks or ANNs.
Build a neural network from scratch in Numpy to identify the type of skin cancer from images.
Learn the basics of CNN and OpenCV and apply it to Computer Vision tasks like detecting anomalies in chest X-Ray scans, vehicle detection to count and categorise them to help the government ascertain the width and strength of the road.
CREATE MACHINE LEARNING MODELS
Big Data - Beyond The Hype, Big Data Skills And Sources Of Big Data, Big Data Adoption, Research And Changing Nature Of Data Repositories, Data Sharing And Reuse Practices And Their Implications For Repository Data Curation, Overlooked And Overrated Data Sharing, Data Curation Services In Action, Open Exit: Reaching The End Of The Data Life Cycle, The Current State Of Meta-Repositories For Data, Curation Of Scientific Data At Risk Of Loss: Data Rescue And Dissemination
Introduction of Big data programming-Hadoop, The ecosystem and stack, The Hadoop Distributed File System (HDFS), Components of Hadoop, Design of HDFS, Java interfaces to HDFS, Architecture overview, Development Environment, Hadoop distribution and basic commands, Eclipse development, The HDFS command line and web interfaces, The HDFS Java API (lab), Analyzing the Data with Hadoop, Scaling Out, Hadoop event stream processing, complex event processing, MapReduce Introduction, Developing a Map Reduce Application, How Map Reduce Works, The MapReduce Anatomy of a Map Reduce Job run, Failures, Job Scheduling, Shuffle and Sort, Task execution, Map Reduce Types and Formats, Map Reduce Features, Real-World MapReduce,
Setting up a Hadoop Cluster, Cluster specification, Cluster Setup and Installation, Hadoop Configuration, Security in Hadoop, Administering Hadoop, HDFS – Monitoring & Maintenance, Hadoop benchmarks,
Programming with Hive: Data warehouse system for Hadoop, Optimizing with Combiners and Practitioners (lab), Bucketing, more common algorithms: sorting, indexing and searching (lab), Relational manipulation: map-side and reduce-side joins (lab), evolution, purpose and use, Case Studies on Ingestion and warehousing
Overview, comparison and architecture, java client API, CRUD operations and security
Overview, Linking with Spark, Initializing Spark, Resilient Distributed Datasets (RDDs), External Datasets, RDD Operations, Passing Functions to Spark, Job optimization, Working with Key-Value Pairs, Shuffle operations, RDD Persistence, Removing Data, Shared Variables, EDA using PySpark, Deploying to a Cluster Spark Streaming, Spark MLlib and ML APIs, Spark Data Frames/Spark SQL, Integration of Spark and Kafka, Setting up Kafka Producer and Consumer, Kafka Connect API, Mapreduce, Connecting DB’s with Spark
Understand how to formulate and validate hypotheses for a population to solve real-life business problems.
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
After completing this module, you will be able to:
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
After completing this module, you will be able to:
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
After completing this module, students will be able to:
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
After completing this module, you will be able to:
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
After completing this module, you will be able to:
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
After completing this module, you will be able to:
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
After completing this module, you will be able to:
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
After completing this module, students will be able to:
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
After completing this module, you will be able to:
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
After completing this module, you will be able to:
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
After completing this module, you will be able to:
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
After completing this module, you will be able to:
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.
After completing this module, you will be able to:
FOM University provides an excellent opportunity to their students for better coordination of studies and training. The university also has their personal portal named myFOM, which specifically focusses on nearly 1000 cooperation partners of the FOM University.
Source: payscale.com
Working at RWE
We had a few opportunities to meet and talk with the business professional in job fairs. To make us prepared well, the international team helped us preparing better CVs and also conducted workshops. The university arranged a few company visits where there was an opportunity to talk with the executives of the companies, which helped a few students to grab opportunities. I express my special gratitude to the international team at FOM University, which is there with the students in both complicated and petty needs. I'm always grateful to the university and its excellent international team. I'm proud to be a student at FOM university from the first-ever Indian Batch of students in M.Sc. in Big Data and Business Analytics.
I feel truly blessed to be a part of FOM. It offers many possibilities and supports me on my way to achieve my ultimate goal to land a prestigious and praiseworthy job in Germany. The program content and teaching quality here at FOM offers the opportunity to attain well-paid assignments and make dreams come true.
Working at HS New Travel GmbH
The study program at FOM helped me develop the management skills from a strategic and practical perspective that I am able to leverage in driving the right technical strategies on an international platform. The study program has the right blend of theoretical and practival curricula. With a greater sense of independence, confidence, and competence after graduation, I can take on even more challenges at a global level. Right from landing in Germany till now, I have received tremendous support from FOM which has helped me to integrate smoothly into German society and the job market.
Working at Henkel
I had the most memorable time of my life at this esteemed university. The curriculum is industry oriented and the Professors are industry oriented and the Professors are professionals in their respective fields. Applying what was taught in the lectures has helped me acquire an internship at a renowned international company. The international office is supportive and understanding. I would recommend FOM to any student who is looking for an all-round experience.
Working at BP
The learning environment here is quite good and online literature helps in getting the appropriate information. The way that FOM is set up has made it really easy to meet new professional connections across Germany. I am sure Germany would give us a wonderful International exposure which would help in professional growth.
Working at Healix
First of all, I'm glad I took the decision to join M.Sc. Big Data and Business Analytics. As this was a pilot batch of FOM University, it was a tough decision to make personally. For me, this master's program was a bold decision, as I already had working experience of 9+ years with more than decent earning in India. However, after lots of research, I decided to go-head with the course looking at the syllabus and the reputation of FOM University, one of the top private in Germany.
I.O. team has arranged many industrial visits and also a few job fairs. It was this job fair in Köln Messe in Nov-2019, where I found my dream job, it was a perfect fit for both company and me as well. A big thanks to the I.O. team taking us to this fair.
Working at BP
The course taught how to collaborate and work in a team to bring big data solutions to the table. It also explained the role of Business analytics in the real world and provided me with the opportunity to learn and improve my hands-on skills in real time environment. FOM university has given me the confidence to pursue the dream of being a Data Analyst. I now not only have the confidence, but I also have the skills and experience to back it up!
Working at Eurofins NDSC
I feel extremely privileged to be a part of the prestigious institution, FOM. Fueled by innovative methodologies in teaching, the Professors at FOM encourage us students to think beyond the boundaries and come up with unique ideas. (...) The International Office here is extremely helpful and welcoming. For every student/working professional, looking for popular courses with an industry-oriented curriculum, I can definitely say, FOM is the best choice!
Working at Aldi Nord
After gaining a few years of experience as an employee for international IT related companies such as BT and Teleperformance, I decided it was time for me to shift my career paths into a more creative environment. In my opinion, this is one of the best programs. Through my studies at FOM and the Career Center of the International Office, I got a job at Deutsche Telekom as an IT engineer.
Working at Aldi Nord
It's an extreme pleasure in opting the M.Sc in Big Data and Business Analytics with FOM university. The program has an in depth content with all the essential Big Data related technologies as well as the Business managerial exposure towards the Big Data Projects. The professors are loaded with real time exposure and the team had really supported in inculcating German culture with in us. I would recommend this course for new buddy professionals who want to explore more into Big Data world.
FOM University, Germany1st Year in India, 2nd Year in Germany
A. Well, you must be wondering what is special about Vepsun Technologies that makes it exceptional.
So, here are the top reasons –
A. The first intake starts in September and the second intake is in November for this academic year.
A. Germany can be easily considered as the ideal destination for all the international students
A. It is not compulsory to learn the German language as the medium of instruction in most of the German institutes and universities is English. Although German is the third most spoken foreign language in the world. But we, at Vepsun, provide German language training to our students – A1 and A2 levels for their proficiency.
A. If you are not able to pay the fees by yourself, then you can take an education loan to finance your study. In that case, we have a dedicated loan department to assist you.
A. No, you don’t need any particular skill to get a job in Germany. The unskilled workforce can earn up to 10 euros per hour. And, if you have experience in a certain field, then it is a plus for you.
A.From January 2020, the annual requirement of the amount that must be paid into the blocked account when applying for a visa is 10,236 Euros. This increased amount applies to all the German visa applications submitted from September 1, 2019, onwards
A. It is advisable to contact the German Embassy or Consulate General in your country of residence to find out what documents are required. Generally, you will have to submit the following:
We offer most advanced technologies than any other computer and business training company. Businesses and individuals can choose from the course offerings, delivered by experts.
Soul Space Paradigm, 3rd Floor, West Wing, next to Hotel Radisson Blu, Marathahalli, Bengaluru, Karnataka 560037
info@vepsun.com
+91 90-363-63007
+91 90-353-53007
.png)
.png)
-Azure, AI, Data Science & Data Analytics Certification included
