Information Technology

Yes why not, it entirely depends on your passion towards and how much hard work you are willing to put into it.
Now a days, most of MNCs of Game Developers Using Python Language for Game Development. So, My Suggestion is Learn Python Game Development.
There are Various Online Courses are there in online, I will suggest you:
Best Python Game Development Courses:
1. Python Game Development - Create a Flappy Bird Clone
2. Game Development Fundamentals with Python
3. Projects in Python: Get started with Python game development [BEST]
Better to take 3rd one
Here you will learn:
The basic structure for a game written in Pygame
Python modules to manage graphics and animation
How to install Homebrew and Pygame
How to add images to your games
Make game objects move on screen
Refactoring and bug checking
How to respond to game events such as mouse and key presses
How to interact between different elements of your game
What are and use nested loops
How to create different levels of your game to make it more challenging
Add a score board and players high scores.
All the Best.

Computer Science involves learning about programming which includes learning the basics of programming, algorithms, data structures, and complexity theory. There is a stream known as computer engineering that deals with the 'low level' and involves the internal circuitry, electronics, and power of a computer. The level above computer engineering is wide, as it deals with both the low level of computer engineering and the high-level programming which integrates chips and circuitry. This is what is known as computer Science. At the highest level is information technology, which focuses on the impact of applications and how to integrate these solutions into the industry. Information Technology deals with the management of computers rather than computation. IT is a combination of programming, hardware administration, software administration, networking, and network security. Computer Science is a wide field and includes algorithms, complexity theory, automata theory, distributed computation, parallel computation architecture, machine learning, cryptography, compiler construction, microprocessors, embedded systems, computer architecture and organisation, computer graphics, database management systems, digital signal processing, operating systems and control systems engineering.