Introduction to M.Sc. Business Intelligence and Analytics
As the world around us changes, there is an increasing demand for skilled professionals, who can leverage the data available to make sense of the world. Big businesses need analytics professionals who can interpret data to provide valuable financial and business insights. According to a recent study by Forbes, the revenues from the Big Data market is expected to reach $103 billion by 2027. In today’s scenario, individuals skilled in business intelligence and analytics are coveted by huge MNCs and international bodies to expand their businesses, improve their management policies, accelerate decision making and come up with better business models. If you want to study abroad, obtaining a master’s in business intelligence and analytics can translate into a multitude of career options in business and data analytics. The M.Sc. in Business Intelligence and Analytics by GISMA is designed to provide you with specialist knowledge in predictive analytics, hone your decision making skills, and undertake entrepreneurial activities. You also gain a deeper understanding of data analysis, data extraction, and technologies to help businesses.
  • The course consists of 24 weeks, which is divided into two semesters of 12 weeks each. Each semester is allotted 60 credits which are further divided into several subjects. The second semester is also for drafting and submitting a research dissertation.

    There is sufficient time for pursuing, internships, projects, or extra-curricular activities. There is sufficient gap between two terms to allow the students to take a break.

  • To gain an entry in the master’s programme, you need to fulfil the following conditions.
    • A UK Bachelor’s degree or any equivalent qualification
    • An English language level certification equivalent to IELTS level 6.5 with a score equal or more than 5.5 in each section.
    • Equivalent work experience in case of no bachelor’s degree.
    If you have a qualification that you think merits an exemption to the criteria, a non-standard application criteria is also available.  Applicants without a bachelor’s degree can also apply if they have at least five years’ managerial experience. Please talk to an advisor for more information.
     
  • The M.Sc. in business intelligence and analytics course is designed to provide the modules in an interactive manner with a focus on the real world to prepare the students for the ever-changing business world. In addition to traditional face-to-face learning, the students also receive core textbooks and abundant reading materials. The students have to study four core compulsory modules and one elective module. The core modules include the following subjects.
    1. Data discovery visualisation: This module focuses on teaching students how to detect patterns and outliers while analysing data. The module also focuses on data navigation and application of guided advanced analytics. There are three sub-divisions of the subject.
      1. Data preparation
      2. Visual analysis
      3. Guided advanced analytics
    Students learn how to analyse various kinds of data, understand data relationships and data modelling, and apply advanced analytics to data patterns to reveal insights.
    1. Data driven decision making: This module provides an introduction to data analytics and its impact on business decisions. The students learn the importance of data and its evolution. The module introduces to the concepts of Big Data and its applications in real life issues. The students are introduced to the processes in data analysis, as well as the tools and techniques commonly used. The module also provides a chance to apply the theoretical skills in a simulated business setting.
    2. Predictive analytics: The course introduces students to the science of business analytics and its impact and usage in the digital age. The module aims to provide the students with the foundation for applying data analytics to real life problems. The course teaches students to identify the appropriate analytical tool, understand and come up with reliable ways to collect, analyse, and visualise data, and predict crucial insights that can be valuable for businesses.
    3. Research methods, professional development and dissertation: You also have to complete and submit a fully researched dissertation on any business intelligence or data analytics problem of your choice. It’s important to remember that your solution should be unique, practical, and evidence-based.
    In addition to the compulsory modules, you can select one elective module from the options given below.
    1. Emerging technologies: The module covers all the new and upcoming technologies such as bitcoin in detail. It also covers their positive and negative effects, the formation of new policies on them, and the existing international laws governing the latest technologies. The course also deals with the impact of these technologies on different industries and how to harness them for the growth of organisations.
    2. Fin-Tech: The subject deals with the latest technological innovations in the financial and banking sector. It deals with their impact on the financial industries and strategies to utilise them to grow the economy. The subject even covers the legislature being created to govern these innovations.
    3. Procurement and Supply Chain Management: The topic deals with the rules and regulations in the logistics and supply chain management industries. It covers the problems and impact created by these industries on other allied industries.
    4. Block-Chain technology: This module covers one of the latest innovations in the fin-tech domain in detail. It covers the difficult concepts of block-chain, data-mining- and crypto currencies, along with their processes, positive, and adverse effects on the financial industry, and future possibilities.
  • The students are tested as per different methods to examine their progress in the modules. The formative assessment includes feedback from seminars, workshops, grade sheets, tests, and practical. The summative assessment takes into account all the individual and group projects, individual and project assignments, and the dissertation.
  • The tuition fee for this course is set at € 19,250 for a year which roughly amounts to 15, 27,631 per year. GISMA offers flexible payment options and allow students to spread out the cost of the programme across three instalments as given below.
    1. Instalment 1: € 5,750 (₹4,56,305)
    2. Instalment 2: € 5,750 (₹4,56,305)
    3. Instalment 3: € 5,750 (₹4,56,305)
    An additional deposit of € 2,000 (₹ 1, 58,762) is required at the beginning of the course, during the enrolment resources. Students get the flexibility to spread out the instalments as they prefer, so long they remain in line with the payment deadlines.
     
    There are accommodation options available for international students as well.
    In case of any query regarding the course fees, you can contact a programme advisor for more details.

Why should you opt for M.Sc. in business intelligence and analytics?

A M.Sc. in business intelligence and analytics from GISMA is designed to give you a solid foundation in data analytics and business intelligence to further your career in the domain of business analytics. Here are the advantages of pursuing the course from GISMA.

  1. The classes for the course is held at GISMA’s Berlin campus. Berlin is one of the most student-friendly European cities with a thriving culture for businesses and start-ups, providing ample job opportunities for GISMA graduates.

  2. The students also get the chance to extend their network within the campus and off-campus, which helps them build meaningful business connections.

  3. A master’s in business intelligence and analytics opens the doors to successful careers in fields if business and data management, cyber-security, and data analytics.

  4. The course provides strong numerical skills and a solid foundation in statistical techniques that are highly valued by employers and business organisations.

  5. The course is offered in association with the University of Law, which is the U.K.’s oldest established provider of legal training and education for over 100 years.

  6. GISMA also has a dedicated career development centre that helps the students apply for and get jobs through a multitude of services such as placements, workshops, and a vast network of alumni and employers.

Who should apply for a master’s in business intelligence and analytics?

This course is designed for people who want to start their careers in the field of data management and cyber-security and are good with numbers and data handling. It is also apt for individuals with a statistical degree who want to pursue a career in business management or financial innovation.

Scope and future of master’s in business intelligence and analytics

With the rapid expansion of businesses, the domain of business intelligence is not entrusted to just business analysts. According to a study by the World Economic Forum, the job roles associated with business intelligence and data analytics are going to grow drastically in the coming years. Many companies are in need of people with good business analytical skills.

The job market for business and data analytics is ever increasing and is expected to churn out multiple job opportunities in the coming years. Hence, this course can help you establish a successful career in business analytics.

Career prospects after pursuing a business intelligence and analytics course

This course helps makes you eligible for a lot of analytical positions. You can pursue a career in any of the following positions.

Management analyst: Management analysts are responsible for proposing strategies to generate profits at reduced operational costs by analysing the data of current revenues and expenditures. This position requires good time-management skills, along with problem-solving and analytical bent-of-mind.

Operations research analyst: These analysts use mathematical and statistical analysis to help their organisations solve complex compliance issues. They are also needed to investigate business problems for making smarter business decisions. You need specialised data visualisation skills to be a good operations research analyst.

Marketing analyst: A marketing analyst identifies market segments, analyses the relevant competition in the market, and harnesses analytics to predict consumer behaviours. Marketing analysts need to be excellent with predictive analytics and data assessment to effectively do their jobs.

Data scientist: This role involves the responsibilities of a mathematician a computer scientist, a data modeller, and an analyst for a single position. Data scientists are required to have an excellent knowledge of computer coding languages, statistics, data visualisation, machine learning, and pattern recognition.

With Data becoming the nucleus of most of the organisations these days, it has unleashed a plethora of new job roles in the market. So, apart from the aforementioned job profiles, you may also opt for interesting Data based roles like analysts, architects, managers, modellers, etc.

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