diff --git a/CHANGELOG.md b/CHANGELOG.md
index d21359729d6f3..f0fbc34988d68 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -121,6 +121,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed support for passing strategy names or strategy instances to the plugins Trainer argument ([#12700](https://github.com/PyTorchLightning/pytorch-lightning/pull/12700))
 
 
+- Removed the deprecated `val_transforms` argument from the `LightningDataModule` constructor ([#12763](https://github.com/PyTorchLightning/pytorch-lightning/pull/12763))
+
+
 - Removed the deprecated `test_transforms` argument from the `LightningDataModule` constructor ([#12773](https://github.com/PyTorchLightning/pytorch-lightning/pull/12773))
 
 
diff --git a/pytorch_lightning/core/datamodule.py b/pytorch_lightning/core/datamodule.py
index e971fb5ca0774..cc7a1890deca6 100644
--- a/pytorch_lightning/core/datamodule.py
+++ b/pytorch_lightning/core/datamodule.py
@@ -19,7 +19,6 @@
 
 from pytorch_lightning.core.hooks import CheckpointHooks, DataHooks
 from pytorch_lightning.core.mixins import HyperparametersMixin
-from pytorch_lightning.utilities import rank_zero_deprecation
 from pytorch_lightning.utilities.argparse import add_argparse_args, from_argparse_args, get_init_arguments_and_types
 
 
@@ -54,35 +53,11 @@ def teardown(self):
 
     name: str = ...
 
-    def __init__(self, val_transforms=None):
+    def __init__(self) -> None:
         super().__init__()
-        if val_transforms is not None:
-            rank_zero_deprecation(
-                "DataModule property `val_transforms` was deprecated in v1.5 and will be removed in v1.7."
-            )
-        self._val_transforms = val_transforms
         # Pointer to the trainer object
         self.trainer = None
 
-    @property
-    def val_transforms(self):
-        """Optional transforms (or collection of transforms) you can apply to validation dataset.
-
-        .. deprecated:: v1.5     Will be removed in v1.7.0.
-        """
-
-        rank_zero_deprecation(
-            "DataModule property `val_transforms` was deprecated in v1.5 and will be removed in v1.7."
-        )
-        return self._val_transforms
-
-    @val_transforms.setter
-    def val_transforms(self, t):
-        rank_zero_deprecation(
-            "DataModule property `val_transforms` was deprecated in v1.5 and will be removed in v1.7."
-        )
-        self._val_transforms = t
-
     @classmethod
     def add_argparse_args(cls, parent_parser: ArgumentParser, **kwargs) -> ArgumentParser:
         """Extends existing argparse by default `LightningDataModule` attributes."""
diff --git a/tests/deprecated_api/test_remove_1-7.py b/tests/deprecated_api/test_remove_1-7.py
index 329f181ccb485..e7f5ae6ee7618 100644
--- a/tests/deprecated_api/test_remove_1-7.py
+++ b/tests/deprecated_api/test_remove_1-7.py
@@ -20,7 +20,7 @@
 import pytest
 import torch
 
-from pytorch_lightning import Callback, LightningDataModule, Trainer
+from pytorch_lightning import Callback, Trainer
 from pytorch_lightning.callbacks.lr_monitor import LearningRateMonitor
 from pytorch_lightning.loggers import LoggerCollection, TestTubeLogger
 from pytorch_lightning.overrides.distributed import IndexBatchSamplerWrapper
@@ -34,19 +34,10 @@
 from pytorch_lightning.strategies import SingleDeviceStrategy
 from tests.deprecated_api import _soft_unimport_module
 from tests.helpers import BoringModel
-from tests.helpers.datamodules import MNISTDataModule
 from tests.loggers.test_logger import CustomLogger
 from tests.plugins.environments.test_lsf_environment import _make_rankfile
 
 
-def test_v1_7_0_datamodule_transform_properties(tmpdir):
-    dm = MNISTDataModule()
-    with pytest.deprecated_call(match=r"DataModule property `val_transforms` was deprecated in v1.5"):
-        dm.val_transforms = "b"
-    with pytest.deprecated_call(match=r"DataModule property `val_transforms` was deprecated in v1.5"):
-        _ = LightningDataModule(val_transforms="b")
-
-
 def test_v1_7_0_moved_get_progress_bar_dict(tmpdir):
     class TestModel(BoringModel):
         def get_progress_bar_dict(self):