MIS or IT…which one?

Previously, we dug in deeper into the differences of MIS vs CIS, and MIS vs CS. In this post, we will examine the differences between Management Information Systems (MIS) and Information Technology (IT).

MIS and IT are not entirely different; rather IT is a specific subset of the larger MIS field. In other words, MIS is a larger infrastructure and IT is a component of that infrastructure. For example, MIS may analyze departmental issues and support management in taking better, technically informed and more strategic decisions through certain objectives. In this case, IT will be the supporting platform to reach those MIS objectives.

The most encompassing definition of IT would be anything related to computers or computing technology, which essentially includes hardware, software, internet, and networking. What connects both MIS and IT is this:  a company with an excellent IT framework, will find it easier to design, develop and deploy an MIS.

A career in information technology often requires a degree in computer or information science which requires the study of topics such as mathematics, database design, computer science, and programming languages. Such a degree can offer several career paths such as the following:

  • Network or database administration
  • Cybersecurity
  • Business intelligence
  • Enterprise resource planning
  • Computer programming
  • Software development

The illustration below sums up the comparison of the two fields of study:


Bottom line? When deciding which of these computer-related paths to pursue, it’s essential to be clear and detailed about what exactly you are looking for in your career. By fully understanding the differences and similarities between MIS and IT through systematic research and evaluation, prospective students such as yourself can better select an educational path, and hence a career path.


If you are reading this article, then you must be interested in the world of technology so you probably know that there are three broad areas: computer science, information technology, and information systems.

Management Information Systems (MIS)

Both degrees are likely to share mutual content however MIS degrees usually include a lot more business modules. The students study a wide range of business courses in order to learn how a business works. Further, they stratify this knowledge to help businesses to get the most from their information. In short, MIS spotlights on both business processes and information technology. Like CS, MIS students do learn programming but in an organization they are solicitude with designing a database system to be used by a business rather than creating the software to create a database system.

 An MIS student is one who is interested to work with business and technology! Therefore, after studying MIS, you can work as a business analyst, systems engineer, systems architect, software testing engineer, and other similar positions.

Computer Science (CS)

As for CS, it is the study of computer technology, both hardware and software. It is concerned with the creation of programs that tell a computer what to do. Usually when you hear the term CS, you assume that it is all about programming! Well just to remind you, yes you do learn how to write programs but this is only one element of the field. Computer scientists design and analyze algorithms to solve programs and study the performance of computer hardware and software. CS students take several math and science courses as theoretical background for their major. These courses allow them to devise new ways to use computers or develop effective ways in solving computing problems.


Also known

Computer information systems, business information systems, information systems Software Engineering
Focus Organization Software
Objective More efficient or effective business Reliable Computer Program
Core Skill Problem Solving Logic Procedure
Core Task Determine business requirements for information systems Deliver information systems to meet defined requirements
Theoretical vs. Applied Balanced Applied
Generic Job Title Analyst/Designer Builder
Typical Starting Job Title Business System Analyst Application Programmer
Career Goals Senior Organizational Manager Programming Manager
College Home Business Science


Introduction to Big Data Lesson 2


  • Application of Big Data for Consumers


  • Apple Siri and Google Now

When you ask Siri or Google Now for the nearest restaurant it uses your GPS location and process a massive amount of data (Big data) so it can give you an accurate recommendation


  • Spotify or Soundcloud

an on-demand music service, uses Hadoop big data analytics, to collect data from its millions of users worldwide and then uses the analyzed data to give informed music recommendations to individual users.

  • Amazon Recommendation

When you search for a book on amazon and then you scroll down, you will see some recommendation from amazon, suggesting you to buy the following book, it uses big data to show you similar books according to the book you are checking out.

  • Netflix

When you watch a specific type of movie of a TV show, from your watching list Netflix will recommend you to other similar shows to watch

Introduction to Big Data Lesson 1



  • What is Big Data?
  • Why big data? ( reasons of having big data)
  • 3 Vs of Big Data ( Volume- Velocity- Variety)


What is Big Data ? ( Arabic)

(البيانات الضخمة )

هي عبارة عن مجموعة البيانات الضخمة جداً والمعقدة لدرجة أنه يُصبح من الصعب معالجتها باستخدام أداة واحدة فقط من أدوات إدارة قواعد البيانات أو باستخدام تطبيقات معالجة البيانات التقليدية

  • What is big data and 3 Vs of Big Data ? (English)

Big data is similar to Regular data but in a high volume ( very big in size),and it’s getting generated in high velocity( very  fast) and its more than one type of data ( variety), so big data is in a simple terms a data that cant be fit in a regular computer and needs special type of storage and new ways of techniques to manage it ( it can’t be stored in a regular databases like Access or oracle)

  • Why Big Data?
    • Increase of storage capacities (like cloud computing – virtual drives – USB with gigabyte and terabyte of storage)
    • Increase of processing power (availability of Supercomputer- and smart computer like IBM Watson)
    • Availability of data (usually the data used to get generated by people , but now machines generates data as well , like in airports cameras are connected to software’s for facial recognition, in supermarkets previously very few who used to pay with ATM, now almost most of the people owns master card, growth of E-commerce like Amazon and Ebay..etc)