Computer science careers in the near future

Careers in computer science have long been popular. Computer science study places are usually filled first at engineering universities, and this trend will continue in the future. So why is there such a rush for these courses?

Technology is evolving at a rapid pace. The Covid-19 pandemic has only exacerbated the situation - companies and governments are feeling the positive aspects that these technologies bring - whether it is online shopping, tracking infections or disseminating information, the technology , which drives these innovations, is in this area. The number of companies springing up and adopting these technologies is a testament to the opportunities in this space. More start-ups and investments mean more jobs and therefore more career opportunities. And with it more demand for computer science courses and study places in engineering schools.

This blog will briefly describe some of the career options that are currently hot, but also some that are likely to become a hit in the near future.

Blockchain / Cryptocurrency

What is that?

A blockchain is a relatively new technology that is essentially a digital ledger of transactions that is duplicated and distributed on-chain across an entire network of computer systems. Each block in the chain contains a series of transactions, and each time a new transaction takes place in the chain, a record of that transaction is added to each participant's ledger. The decentralized database managed by multiple participants is known as Distributed Ledger Technology (DLT). This is a system designed to record information in a way that makes it difficult or virtually impossible to alter, hack, or defraud the system.

Use of cryptocurrencies/blockchain technology

This technology is still in the development phase, but has immense potential due to the fact that it is virtually impossible to hack. Finance, banking, and government records are ideal for implementing blockchain technology. Even contracts can be processed using this technology.

Qualification

The minimum qualification for a blockchain developer is a BTech degree in software engineering with additional knowledge of data structures. Additional certifications include Bitcoin and Cryptocurrency Technologies, IBM Blockchain Foundation Developer, etc.

Artificial intelligence

What is that?

AI or artificial intelligence is the intelligence of machines compared to the natural intelligence of humans. The machines can be programmed to collect data, analyze, learn, predict and perform many tasks that can be performed very efficiently. It helps many repetitive tasks to be completed quickly and with less effort.

Today, one can see the impact of AI in applications such as driverless trains, Google Maps, digital assistants, facial recognition systems, fingerprint recognition on mobile phones, etc.

Neural learning, natural language processing, machine learning, etc. are all part of artificial intelligence and therefore an AI scientist could use any of the different parts of this technology in their field of work. At its core, it is a wonderful combination of people and computers working together.

Training qualification

The requirements are similar to those for ML - Btech in Computer Science, followed by specializations such as masters and doctoral studies.

Career-boosting certifications include IBM Applied AI, IBM AI Foundations for Business, Digital Transformation Using AI/ML with Google Cloud, etc.

Ethical hacking

What is that?

Ethical hacking is a legal attempt (authorized by the organization to which the system belongs) to gain unauthorized access to a computer system, application or database. Performing an ethical hack involves mimicking the strategies and actions of malicious attackers. This allows vulnerabilities in the system to be uncovered, which can then be remedied before a malicious attacker has the opportunity to exploit them.

Possible uses of ethical hacking

Ethical hackers use their expertise to review and improve the security of organizations' technology. They provide organizations with important advice on how to secure their systems and data etc.

An ethical hacker reports the identified vulnerabilities to the organization. In many cases, the ethical hacker will retest with the organization's consent to ensure that the vulnerabilities are fully remedied.

Training path

A degree in software engineering or an equivalent is a must for the profession of ethical hacker, as it provides a comprehensive knowledge and understanding of how software really works. Certifications that focus on data vulnerabilities, coding, and other topics are required for additional qualifications, such as: B. Certified Ethical Hacker, Certified Threat Intelligence Analyst, Network Defense Architect, etc.

Internet of Things (IoT)

What is that?

The Internet of Things (IoT) describes the network of physical objects - "things" - equipped with sensors, software and other technologies to connect and exchange data with other devices and systems over the Internet.

This is made possible by the convergence of various technologies such as ML, AI, Internet, 5G, embedded systems, real-time analytics, etc. In the future, there will be more and more devices connected via the network.

Possible uses of the Internet of Things

Home automation, security devices, smartphones, smart speakers, etc. are examples of IOT devices. Air conditioners, refrigerators, washing machines, etc. are connected via the network. All of these technologies are aimed at providing more convenience to people. For example, you can activate the air conditioning via the Internet so that it runs before you enter the room so that the room is cool when you enter it.

Educational path

A completed computer science degree with in-depth knowledge of how hardware and software works is a prerequisite. Programming languages ​​such as C, C++, Python and an understanding of microcontrollers are a requirement.

Cloud Computing

What is that?

Put simply, cloud computing is the delivery of computing services - including servers, storage, databases, networks, software, analytics and intelligence - over the Internet ("the cloud") to provide faster innovation, flexible resources and economies of scale.

Possible uses of cloud computing

For example, today we can access movies and series over the internet through apps like Netflix, Hotstar and Amazon Prime etc. All of this information and data is hosted on servers managed by companies like Microsoft and Amazon. People used to have to order DVDs, but now technology makes it easy to access them on demand. Companies use many software directly from the cloud for their daily activities.

Educational path

The basic requirement is a B.Tech degree in Computer Science. Additional certification courses are required depending on the brand of software used.

Some examples of certifications are - RHCA- Red Hat Certified Architect: Cloud, AWS - Amazon Web Services, MCSE - Microsoft Certified Solutions Expert, IBM Certified Cloud Solution Architect, Google Certified Professional Cloud Architect.

Big Data

What is that?

Big data is a term that describes the large amount of data - both structured and unstructured - that a company collects every day. But it's not the amount of data that's important. What matters more is what companies can do with this data. Big data can be analyzed to generate insights that lead to better decisions and strategic business decisions.

Uses of Big Data

Big data is primarily used to understand customer preferences and behavior, as well as company and information behavior. For example, based on the information collected by IRCTC, the railways can take decisions on new trains, train frequencies and timings, investments in new routes, etc. The entire operation can be streamlined and costs can be reduced. Relevant information can be conveyed to customers at the right time. The government also uses this to understand traffic patterns, weather patterns and more.

Educational path

Software technology is required. Many additional certifications can improve knowledge and employability, such as: B. - Big Data Hadoop Certification, IBM Certified Data Engineer - Big Data, Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics, Bits Pilani Post Graduate Program in Big Data Engineering

Data science

What is that?

Data science is a field of study that combines programming skills, knowledge of mathematics and statistics, and specialized knowledge to generate meaningful insights from data. Data scientists apply machine learning techniques to data in the form of numbers, text, images, videos, audio, etc. to develop artificial intelligence (AI) systems that perform tasks that normally require human intelligence. These systems, in turn, generate insights that analysts and business users can translate into tangible business value.

Applications of data science

The job of data analysts is to recognize patterns and trends from the huge amounts of data (big data) that every company collects today and to derive meaning from them. More and more companies are recognizing the importance of data science. Regardless of industry and size, companies that want to remain competitive in the age of big data must develop and implement data science capabilities efficiently to avoid the risk of being left behind.

Educational path

A bachelor's degree in computer science or a software engineering background is essential, and the incumbent must have a penchant for numbers and statistics. Certification courses are also helpful.

Machine learning

Description

Machine learning is the study of computer algorithms that uses statistical techniques to give computers the ability to automatically improve through experience. It is considered a branch of artificial intelligence. Machine learning algorithms create a model based on sample data to make predictions or decisions without requiring humans to reprogram them every time.

Machine Learning Applications

If you have used Alexa, Siri, etc., you know what it means to use a machine learning-based system. Even the Google search bar that asks you to finish a sentence based on your search history is the result of machine learning at work. It recognizes you, your voice, etc. and offers you options based on your preferences.

Recommendations that you see on sites like Amazon, Flipkart, etc. are also examples of machine learning. Today, ML is used in a variety of ways in all areas.

Educational path

The formal educational qualification for machine learning scientists is a B.Tech degree in computer science, followed by a master's degree and a doctorate.

Additional certifications that may be helpful include Natural Language Processing (NLP), Computer Vision, and Image Analysis.

AR and VR - Augmented reality and virtual reality

What is that?

Augmented reality (AR) involves adding digital elements to a live view, often using a smartphone's camera. Examples of augmented reality experiences include filters and lenses in apps and the game Pokemon Go.

Virtual reality (VR) is an immersive experience that completely blocks out the physical world. With VR devices like Oculus, users can be transported into a world of perception like you may have experienced in arcades and arenas.

There is also MR Mixed Reality, which combines the elements of AR and VR. All of it is computer generated.

Possible uses of AR and VR - augmented reality and virtual reality

These technologies are now used in the real world to give people a feel for new designs, to provide training and simulations for people preparing for a particular job or career, without additional costs or potential damage from accidents, etc . There are many potential applications and as technology advances, we will also be able to experience them.

Educational path

A degree in computer science along with expertise in many different gaming languages ​​such as Unity, which uses C# as its primary programming language, and Unreal Engine, which uses C++ and a Node-based language called Blueprints Visual Scripting, could be considered a minimum qualification to enter this field .

Additional certifications that can help in career development - full Unity developer kit, virtual reality (VR) app development, 3D interaction design in VR