According to a recent survey by McKinsey & Company, it has been found out that several organisations are adopting artificial intelligence (AI) in at least one of their business vertical. Additionally, a report by CB Insights also claims that global funding for AI start-ups is expected to rise by $73.3 billion in the next few years.

When corporations are turning to AI and machine learning systems to optimise their business functions, a career in this field is surely the right decision. Pursuing a Bachelor of Technology (B.Tech) in AI and Machine Learning can be a potential career pathway for you. However, before we dive deeper into the topic, let us understand what the course is about!

What is B.Tech in Artificial Intelligence and Machine Learning?

A Bachelor of Technology (B.Tech) in Artificial Intelligence and Machine Learning is an undergraduate degree programme that provides you with knowledge of the concepts of artificial intelligence and machine learning algorithms. The course curriculum helps you build smart machines that can aid in the decision-making process without human intervention. Besides this, the programme also helps you build self-learning computer systems by combining algorithms and statistical models.

Why should you pursue a B.Tech in Artificial Intelligence and Machine Learning?

AI and ML are two important technologies that have taken the world by storm. Several firms are adopting AI-powered predictive analytics to predict market trends, supply chain disruptions, and customer behaviour. In this light, a B.Tech. in AI and ML is a compelling career option because the technology will stay in trend for a long time, will not fade away soon, and will offer multiple career opportunities for you. Let us see some of the reasons that prove that a B.Tech. in AI and ML is a good career move for you:

A Bright and Promising Career Prospect

Since several companies are introducing AI into their ecosystems, studying AI and machine learning opens up lucrative career opportunities for you. You can create cutting-edge technologies in diverse sectors, such as computer protection, image recognition, pharmacy, or face recognition. Your unique skill set and knowledge will make you a desirable candidate for top positions across different industries.

Highly Rewarding Salaries

All the recent surveys prove that AI is one of the fastest-growing technologies in the business world. The data also suggests that AI engineers are the most sought-after professionals around the world these days. In India, the average annual salary for an entry-level AI engineer exceeds the average salary for an engineer in any other discipline. Therefore, opting for a career in AI and ML can bring in handsome salary packages for you upon your graduation.

A Versatile Discipline

AI and ML are two fields that can be applicable across any industry or field such as healthcare, finance, retail, hospitality, manufacturing, and many others. As these two disciplines have a broad spectrum of applications,  you can find a plethora of career options to choose from based on your interests and aspirations.

Skill of the Century

AI and ML are often referred to as the skills of the century because of their profound impact on the global market. In the coming days, AI will eventually reduce manual labour while also creating new career options in related fields. As the world is constantly progressing towards an AI-centric world, it is imperative that you have at least some knowledge of AI in order to remain relevant in the industry!

Way Forward

As the world is gravitating towards AI-driven solutions, pursuing a B.Tech in Artificial Intelligence and Machine Learning can be a smart career move for you. The diverse application of AI and ML in our daily lives has successfully underscored the indispensability of AI in modern life. Therefore, a career in AI and ML offers a bright and promising career by offering lucrative opportunities across different industries. Therefore, if you want to be at the forefront of the technological revolution, a B.Tech in AI and ML is the right career option for you!

One of the biggest dilemmas in pursuing a career in the tech industry is to choose between a degree in computer engineering or a degree in software development. Although both fields might be interconnected, there are subtle differences. Moving on to the next question, one would think about which field is more appropriate and best to pursue.

Computer engineering and software development might be the two sides of the same coin, but they are not the same fields. Computer engineering is a discipline that focuses on the design and development of computer systems, that includes both hardware and software components.

On the other hand, software development focuses on building, designing, testing, and maintaining software applications and systems. While computer engineers may work on both hardware and software aspects, software developers primarily focus on writing code and deploying software solutions to meet specific user needs. Let us understand each aspect of these two fields in detail:

Computer Engineering vs. Software Development: Course Duration

A Bachelor of Technology (B.Tech) in Computer Engineering is a 4-year programme. The programme includes both theoretical coursework and practical hands-on experience through laboratory work, projects, and internships. Furthermore, one can also pursue higher education by opting for a Master's degree in the same field, which is again a 2-year degree programme.

A B.Tech in Computer Science is an undergraduate degree that one can pursue in the field of Software Development. This undergraduate programme is a 4-year course split into 8 semesters. They can also pursue a Master’s degree in the same field, which is a 2-year programme.  Alternatively, there are different other courses available for students to learn software development, such as Introduction to Programming (4–8 weeks), Web Development Bootcamp (8–12 weeks), Mobile App Development (6–10 weeks), Software Engineering Fundamentals (8–12 weeks), Full Stack Development (12–20 weeks), Object-Oriented Programming (4–8 weeks), Data Structures and Algorithms (8–12 weeks), Python Programming (6–10 weeks), and many others. However, these durations may vary depending from one institution to another.

Computer Engineering vs. Software Development: Course Eligibility

For an undergraduate degree in computer engineering, the candidate must have studied their 10+2 with a PCM (Physics, Chemistry, and Maths) background and must have a minimum percentage between 50 and 60 in their 12th examinations. They must also clear entrance exams, such as JEE Main (Joint Entrance Examination-Main), state-level engineering entrance exams, the Birla Institute of Technology and Science Admission Test (BITSA), and other university-specific entrance exams. Similarly, for the postgraduate degree, the minimum percentage requirement is around 50% to 60% aggregate in the undergraduate degree. Additionally, some institutions may require a valid Graduate Aptitude Test in Engineering (GATE) score or equivalent entrance exam score for an M.Tech degree.

To qualify for the software development courses, one should have a high school diploma or equivalent and possess basic computer literacy and familiarity with programming concepts. Some institutions may require a prerequisite understanding of certain topics in mathematics, computer science, or related subjects if the candidate has completed their undergraduate degree. Furthermore, meeting the admission criteria set by the university or institution, which may include a certain GPA, letters of recommendation, and possibly a relevant work or research background.

Computer Engineering vs. Software Development: Course Curriculum

The course curriculum for degrees and courses in Computer Science and Software Development can vary with institutions. However, let us go through some of the common topics and subjects that are taught in the respective fields.

The subjects that are taught in the Computer Engineering course curriculum are Digital Logic Design, Computer Architecture, Programming Languages and Software Engineering, Data Structures and Algorithms, Operating Systems, Computer Networks, Database Systems, Microprocessors and Microcontrollers, Digital Signal Processing, Computer Graphics and Visualisation, Embedded Systems, Computer Security, Artificial Intelligence and Machine Learning, Electronics and Circuits, Mathematics and Engineering Mathematics, Engineering Ethics and Professionalism.

The subjects that are taught in the Software Development course curriculum include Programming Languages, Software Engineering Principles, Data Structures and Algorithms, Object-Oriented Programming, Database Management, Web Development, Mobile App Development, Version Control Systems, User Interface (UI) and User Experience (UX) Design, Software Testing and Quality Assurance, Agile Development Methodologies, Software Project Management, and Computer Science Fundamentals.

Computer Engineering vs. Software Development: Career Opportunities

As the tech industry is growing rapidly, one can find lucrative career opportunities lurking in both the fields of computer engineering and software development. The individuals must utilise the knowledge and skills gained during these programmes to navigate career opportunities across various industries and sectors. Let’s observe some of the potential career paths one can pursue in each field:

Career Prospects after Computer Engineering
Computer engineering offers a wide range of career opportunities in various sectors. Let us see some of the prominent career options for computer engineering graduates, including:

Software Engineers are responsible for designing, coding, testing, and maintaining software applications and systems for different platforms, industries, and purposes. Hardware Engineers develop and design computer hardware components, including processors, memory systems, and circuit boards. Network Engineers work on designing, implementing, and managing computer networks and communication systems to ensure efficient data exchange. Systems Analysts are responsible for analysing an organisation’s IT needs and designing solutions that address business requirements and improve efficiency. Embedded Systems Engineers create software for embedded systems used in devices like IoT devices, medical equipment, and automotive systems.

Career Opportunities after Software Development
There are ample career advancement possibilities after completing a course in software development. Let us see some of the prominent career paths in the field of software development:

Front-end developers specialise in creating user interfaces and interactive elements for websites and applications. Back-end developers focus on the server-side logic, databases, and application architecture that power software systems. Full-Stack Developers utilise their proficiency in front-end and back-end development to build web applications. Mobile App Developers are responsible for creating applications for smartphones and tablets on platforms such as iOS or Android. Game Developers design and code video games for consoles, PCs, or mobile devices.

Way Forward

In conclusion, a career in computer engineering encompasses involvement in both hardware and software, whereas a career in software development is a subset that concentrates solely on creating software applications. Therefore, the decision to choose a career in any of these fields solely depends on one’s interests and passions. If anyone is passionate about designing and developing computer hardware and software systems, then computer engineering is the right career choice for them. However, if an individual is interested in creating, testing, and designing software applications, then software development is the right career choice for them.

Did you know that the global IT industry is expecting a massive growth projected at around $3.8 trillion? Yes, you heard us right. There has been an increased demand for IT services in the last few years. With the development of new technologies like artificial intelligence, machine learning, and blockchain, the demand for professionals skilled in computer engineering has skyrocketed.

In today's fast-paced world, computer science and software engineering serve as crucial pillars of technological innovation. As our world becomes more interconnected and data-driven, there is an increasing demand for individuals in both these fields. However, we must understand that both these fields are different from each other. In this blog, we shall explore the intricacies of pursuing a career in computer science, versus software engineering. Come, let's navigate the differences between these two domains.

Computer Science vs. Software Engineering: Course Duration

A Bachelor of Technology (B.Tech) in Computer Science typically has a duration of 4 years in most educational institutions. The programme is divided into 8 semesters and includes both theoretical coursework and practical hands-on experience through laboratory work, projects, and internships. Furthermore, one can also pursue a Master's degree in the same field, which is again a 2-year degree programme that is again divided into 4 semesters.

A B.Tech in Software Engineering is a 4-year undergraduate programme across most of the engineering colleges in India. Along with theoretical coursework, the course also exposes the students to practical projects, onsite visits, and internships divided into 8 semesters. After completing their undergraduate, one can also apply for a two-year postgraduate degree in Master of Technology (M. Tech.) in Software Engineering, which is again divided into 4 semesters.

Computer Science vs. Software Engineering: Course Eligibility

For an undergraduate degree in both fields, the candidate must have taken a PCM (Physics, Chemistry, and Maths) combination in their 10+2 and must have a minimum required percentage between 50 and 60. They must also clear their entrance exams, such as JEE Main (Joint Entrance Examination-Main), State-Level Engineering Entrance Exams, the Birla Institute of Technology and Science Admission Test (BITSA), and other university-specific entrance exams.

Similarly, for the postgraduate degree in both fields, the minimum percentage requirement is around 50% to 60% aggregate in the undergraduate degree. Additionally, some institutions may require a valid Graduate Aptitude Test in Engineering (GATE) score or equivalent entrance exam score for an M.Tech degree.

Computer Science vs. Software Engineering: Course Curriculum

Both Computer Science and Software Engineering have similar foundations that intertwine with coding and computation. However, each of the curricula follows distinct trajectories.

The core subjects in the Computer Science curriculum are Programming Fundamentals, Data Structures and Algorithms, Computer Architecture, Operating Systems, Database Management Systems, Discrete Mathematics, Software Engineering, Computer Networks, Artificial Intelligence, Theory of Computation and various others.

The core subjects in the Software Engineering curriculum are Software Development Lifecycle, Requirements Engineering, Software Design, Software Testing and Quality Assurance, Software Project Management, Software Maintenance and Configuration Management, Software Security, User Experience (UX) Design, Software Metrics and Measurement, Agile and DevOps Practices and many others.

Computer Science vs. Software Engineering: Career Opportunities

Both Computer Science and Software Engineering offer a plethora of rewarding career opportunities. While Computer Science equips an individual with the core principles of computation, Software Engineering hones your software development skills. These paths enhance their problem-solving abilities, innovation mindset, and adaptability, thus making them competent candidates. Let us explore some of the high-demand career prospects in each field:

Career Prospects in Computer Science

Individuals pursuing a career in Computer Science are often called the frontiers of technology as they are pioneering breakthroughs in artificial intelligence, machine learning, and cybersecurity systems. Let us see some of the key roles in the Computer Science industry:

Data Analysts are responsible for analysing data in order to extract valuable information and make well-informed business choices. Web developers design and maintain websites, and web applications with the help of programming languages, and other design tools.

Cybersecurity analysts play an important role in safeguarding computer systems and networks against cyber threats. Database administrators manage and maintain databases, ensuring efficient storage, retrieval, and security of data for organisations. Machine learning engineers develop and deploy machine learning models to extract insights and drive data-driven solutions.

Career Prospects in Software Engineering

Individuals who are interested in pursuing a career in software engineering are known as the architects of the virtual world. They use their knowledge and skills to develop codes that breathe life into our devices, applications, and systems. Software engineers can work across borders and industries, thus helping the way we communicate, conduct business, and experience the world around us. Let us see some of the key roles in the Software Engineering:

Software Engineers design, develop, and maintain software applications, translating concepts into functional code. Software Architects create high-level software designs and guide teams in implementing complex systems. Quality Assurance (QA) Engineer ensures software quality through rigorous testing and quality control processes. UI/UX Designers design intuitive user interfaces and seamless user experiences for digital products. DevOps Engineers streamline software development and deployment through automation and collaboration.

What to Choose and the Way Forward

In conclusion, computer science lays emphasis on the design and understanding of computational processes, whereas software engineering focuses on the analysis, design, construction, and testing of software applications. If an individual is eager to learn about AI and machine learning, they should choose computer science, whereas if they wish to pursue a career in understanding software functionalities, they should choose software engineering. Despite their differences, both fields open doors to great career advancement opportunities for tech-savvy professionals. In today’s technological age, both fields are in high demand and never have a shortage of job opportunities. Therefore, one must understand their key strengths and drive their career in such a field that they have an interest in!

As per recent survey reports, the tech industry is expected to have a massive growth of 15% in the coming years. Another research predicts that there will be over 75 billion Internet of Things (IoT) connected devices by 2025 that will drive our homes, cities, and workplaces.

When we come across these astounding figures, we realise that we are soon transforming into a society that will be driven by technology. With that being said, the demand for skilled tech professionals will also increase rapidly. Now that we know that the demand will surge, it brings us to another question: Which one is a better tech career - Computer Engineering or Computer Science? Which course offers better career opportunities and how should one align their interests accordingly?

Today, we shall dive into the nuances of both fields, exploring the educational paths, curriculum, and career trajectories that set Computer Engineering and Computer Science apart. So, whether one is drawn to constructing hardware or possesses a knack for coding, let's navigate the crossroads of tech careers together!

Computer Engineering vs. Computer Science: Course Duration

A Bachelor of Technology (B.Tech) in Computer Engineering typically is of 4 years. The programme includes both theoretical coursework and practical hands-on experience through laboratory work, projects, and internships. Furthermore, one can also pursue a Master's degree in the same field, which is again a 2-year degree programme.

A B.Tech in Computer Science is a 4-year undergraduate programme across most of the engineering colleges in India. Along with theoretical coursework, the curriculum also exposes the students to practical projects, onsite visits, and internships. After completing their undergraduate programme, students can apply for a two-year postgraduate degree in Master of Technology (M. Tech) in Computer Science.

Computer Engineering vs. Computer Science: Course Eligibility

For an undergraduate degree in both fields, the candidate must have studied their 10+2 with PCM (Physics, Chemistry, and Maths) background and must bear a minimum percentage between 50 and 60 in their 12th examinations. They must also clear entrance exams, such as JEE Main (Joint Entrance Examination-Main), State-Level Engineering Entrance Exams, the Birla Institute of Technology and Science Admission Test (BITSA), and other university-specific entrance exams.

Similarly, for the postgraduate degree in both fields, the minimum percentage requirement is around 50% to 60% aggregate in the undergraduate degree. Additionally, some institutions may require a valid Graduate Aptitude Test in Engineering (GATE) score or equivalent entrance exam score for an M.Tech degree.

Computer Engineering vs. Computer Science: Course Curriculum

The course curriculum for B.Tech and M.Tech in Computer Science and Computer Engineering can be different across various institutions of the country. However, let’s see a general overview of the subjects and topics that are commonly covered in each of the undergraduate and post-graduate programmes.

Computer Engineering vs. Computer Science: Career Opportunities

There are ample opportunities in both the fields of computer science and computer engineering. One can utilise the knowledge and skills gained during undergraduate and postgraduate programmes to navigate career opportunities across various industries and sectors. Let’s observe some of the potential career paths one can pursue after completing a degree in computer science or computer engineering!

Career Prospects after Computer Engineering
Machine Learning Engineers use their strong programming skills and knowledge of data science to design and develop machine learning systems, implement appropriate ML algorithms, and conduct experiments. An artificial intelligence engineer creates algorithms that are capable of learning, assessing, and forecasting future events. Network engineers are expert professionals who establish and maintain networks within an organisation or between organisations. Mobile app developers build applications for mobile devices, working on platforms like iOS and Android, using programming languages and tools. UI/UX designers create user interfaces and experiences that enhance the usability and visual appeal of software applications and websites.

Career Prospects after Computer Science
Software Developers build and design computer programmes that power desktop computers, smartphones, and even cars. Web developers create and maintain websites, and web applications with the help of programming languages, and design tools. Data analysts analyse and interpret complex data to extract important information. Database Administrators manage and maintain databases, ensuring efficient storage, retrieval, and security of data for organisations. Cybersecurity Analysts protect computer systems and networks from cyber threats by implementing security measures and monitoring for vulnerabilities.

Way Forward

Both computer science and computer engineering are technology-driven domains centred around computer and information systems. While we learn about the development of computer systems in computer engineering, on the other hand, we build innovative solutions with the help of computer science. For individuals who like delving into hardware intricacies or envisioning user interfaces, computer engineering might resonate more deeply. However, if an individual likes data analysis and computer networks, computer science might hold greater appeal.

A recent survey observed that more than 20 million mobile application developers will be needed in India alone by 2030. The research conducted by NASDAQ suggests that investments in cloud technology are projected to surpass $40 million in the coming years.

All of these statistics point out a common result, i.e., there is an increasing demand for professionals with expertise in cloud technology and mobile applications. As technology continues to reshape the landscape of industries around the world, the demand for skilled professionals in cloud technology and mobile application development has increased significantly.

In response to this evolving landscape, if you pursue a Bachelor of Technology (B.Tech) in Cloud Technology and Mobile Application, you will be exposed to a myriad of advantages in your career. Let us understand the benefits of this specialised B.Tech programme and uncover the degree’s potential in shaping your careers in this digital era!

Relevance in the Tech Industry
The IBM statistics show that about 85% of new applications are being developed around cloud computing. The industry is expected to grow tremendously, driven mainly by the services that allow users to back up their files including photos and music. As the industry is rapidly evolving, enrolling in a B.Tech programme focused on these areas can help you stay relevant and aligned with industry trends. This increases your chances of finding employment in technology-driven organisations.

Culminates a Diverse Skill Set
The curriculum of a B.Tech programme in Cloud Technology and Mobile Application covers a wide range of subjects. The curriculum covers topics in cloud infrastructure management, mobile app development, user experience (UX) design, coding languages, frameworks, and many more. This variety of subject exposure helps you to gain proficiency in multiple areas and excel in different types of career roles.

High-demand Career Scope
Due to globalisation, cloud computing and mobile app development have become fundamental components for businesses across industries. According to IDC, worldwide spending on public cloud services and infrastructure is projected to reach $210 billion in the coming years. This prediction is a testament that more firms will be turning to skilled professionals in the cloud domain to steer their organisations toward success. Therefore, if you are skilled in cloud computing, you will become a potential candidate for several industries seeking expertise to deliver seamless user experiences.

Options for Flexibility and Scalability
The programme teaches you concepts like designing cloud-based systems, auto-scaling and load balancing, which can scale up your demand in the changing business landscape. Moreover, understanding cloud resource management helps you optimise usage and costs which can turn out to be handy during a company crisis. So, by understanding how to manage cloud resources, contribute to the operations of an organisation in the best way and help it to adapt to changes efficiently.

Expertise in Mobile App Development
In the next few years, it is expected that billions of devices like home appliances, LED bulb lights, power sockets, etc. can be integrated and controlled by mobile applications. There will be an increased demand for mobile applications. That is why a B.Tech degree in Cloud Technology and mobile application development can help you learn about user interface (UI), user experience (UX) design, coding languages, and frameworks.

Way Forward
In conclusion, the rising demand for professionals skilled in cloud technology and mobile application development is evident from various statistics and industry trends. Through a B.Tech degree in Cloud Technology and Mobile Application, you'll learn about the latest trends in today's digital world. The different subjects you'll study will help you gain skills to do well in jobs like cloud engineers or mobile app developers. Therefore, a B.Tech degree in Cloud Technology and Mobile Application empowers you to embrace the evolving landscape of technology and pursue a successful career in a digital ecosystem.

Do you have a burning desire to explore the world of innovation and technology? If your answer is yes, then we highly recommend you apply for a Bachelor of Technology (B.Tech) in Cloud Technology and Information Security. This undergraduate programme is well-designed to equip you with the knowledge and skills to thrive in the ever-evolving cloud industry. In today's digital age, businesses rely heavily on technology and information security to safeguard their data and operations. As organisations tend to search for highly skilled professionals and manage their data on a daily basis,  you will stay in demand for your extensive skills and knowledge. Let us help you understand the benefits of studying B.Tech in Cloud Technology and Information Security:

Diverse Career Scope

The programme equips you with relevant skills and knowledge that are aligned with the current trends in the IT security sectors. You will possess a comprehensive understanding of network security, cryptography, ethical hacking, and many more crucial areas. Having knowledge on such holistic topics will help you gain a competitive edge over others. You can pursue diverse career roles such as information security analyst, network security specialist, information security consultant, and so on. You can also progress into leadership roles, such as security managers or cloud architects, as you gain experience and expertise in the field over the years.

Great Remuneration

Information technology and information security are integral to the smooth functioning of modern businesses. The companies recognise the importance of safeguarding their sensitive data and ensuring seamless business operations. As a result, they are willing to invest in skilled professionals who can handle these critical responsibilities. Therefore, as cloud technology and information security professionals, you will be able to draw competitive salaries that are the best in the industry. However, you must bear in mind that the earning potential can vary based on the skill set, industry and size of the company.

Exposure to Continuous Learning

Cloud technology and information security are dynamic domains that witness frequent updates and innovations. As new services, tools, and best practices emerge regularly, you need to keep pace with these changes to remain relevant in your field. During your course, you will have several opportunities for continuous learning through certifications and workshops. You can obtain certifications like Certified Cloud Security Professional (CCSP) or Certified Ethical Hacker (CEH) that will help you demonstrate your expertise in specific areas, and increase your overall marketability.

Contribution Towards Innovations

As businesses adopt cloud services, there will be an increased demand for robust data security measures. Therefore, as cloud technology professionals, you will be responsible for developing and implementing advanced security protocols to protect data. You will also explore new encryption algorithms, authentication methods, and access controls to fortify the security posture of cloud systems. Additionally, you will explore innovative Multi-Factor Authentication (MFA) methods, such as biometrics, and adaptive authentication, to enhance security while maintaining user privacy.

Way Forward

In conclusion, pursuing a B.Tech. in Cloud Technology and Information Security is a highly recommended career path if you aspire to be at the forefront of innovation. This undergraduate programme is meticulously designed to equip you with the knowledge and skills necessary to excel in the rapidly evolving cloud industry. The diverse career scope offers you abundant opportunities for growth and specialisation across different industries. Moreover, the field presents great earning prospects as businesses understand the significance of safeguarding data and seamless operations. The continuous learning aspect is equally crucial, and the programme encourages you to pursue additional certifications to enhance your skill and knowledge levels. As a B.Tech graduate in this field, you will be well-prepared to make a significant impact, protect vital data, and drive progress in this rapidly evolving and impactful domain.